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Preslav Nakov

Preslav Ivanov Nakov

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affiliation: Qatar Computing Research Institute

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2020 – today

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2024
[j29]
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Arnav Arora, Preslav Nakov, Momchil Hardalov, Sheikh Muhammad Sarwar, Vibha Nayak, Yoan Dinkov, Dimitrina Zlatkova, Kyle Dent, Ameya Bhatawdekar, Guillaume Bouchard, Isabelle Augenstein:
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go. ACM Comput. Surv. 56(3): 72:1-72:17 (2024)
[j28]
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Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 74:1-74:34 (2024)
[c300]
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Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan Zhang, Angela Zhao, Preslav Nakov, Timothy Baldwin:
A Chinese Dataset for Evaluating the Safeguards in Large Language Models. ACL (Findings) 2024: 3106-3119
[c299]
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. ACL (1) 2024: 3964-3992
[c298]
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Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. ACL (1) 2024: 4372-4405
[c297]
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Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. ACL (Findings) 2024: 5042-5078
[c296]
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Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin:
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. ACL (Findings) 2024: 5622-5640
[c295]
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Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. ACL (1) 2024: 7768-7791
[c294]
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Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) 2024: 9367-9385
[c293]
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Tariq Alhindi, Smaranda Muresan, Preslav Nakov:
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. ACL (Findings) 2024: 12323-12334
[c292]
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Preslav Nakov, Jisun An, Haewoon Kwak, Muhammad Arslan Manzoor, Zain Muhammad Mujahid, Husrev T. Sencar:
A Survey on Predicting the Factuality and the Bias of News Media. ACL (Findings) 2024: 15947-15962
[c291]
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  - conf/asiaccs/KumarasingheLSB24
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Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov:
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. AsiaCCS 2024
[c290]
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  - conf/clef/BarronCedenoASNCEPCMHHL24
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Alberto Barrón-Cedeño, Firoj Alam, Julia Maria Struß, Preslav Nakov, Tanmoy Chakraborty, Tamer Elsayed, Piotr Przybyla, Tommaso Caselli, Giovanni Da San Martino, Fatima Haouari, Maram Hasanain, Chengkai Li, Jakub Piskorski, Federico Ruggeri, Xingyi Song, Reem Suwaileh:
Overview of the CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. CLEF (2) 2024: 28-52
[c289]
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Maram Hasanain, Reem Suwaileh, Sanne Weering, Chengkai Li, Tommaso Caselli, Wajdi Zaghouani, Alberto Barrón-Cedeño, Preslav Nakov, Firoj Alam:
Overview of the CLEF-2024 CheckThat! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content. CLEF (Working Notes) 2024: 276-286
[c288]
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Julia Maria Struß, Federico Ruggeri, Alberto Barrón-Cedeño, Firoj Alam, Dimitar Dimitrov, Andrea Galassi, Georgi Pachov, Ivan Koychev, Preslav Nakov, Melanie Siegel, Michael Wiegand, Maram Hasanain, Reem Suwaileh, Wajdi Zaghouani:
Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles. CLEF (Working Notes) 2024: 287-298
[c287]
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Jakub Piskorski, Nicolas Stefanovitch, Firoj Alam, Ricardo Campos, Dimitar Dimitrov, Alípio Jorge, Senja Pollak, Nikolay Ribin, Zoran Fijavz, Maram Hasanain, Purificação Silvano, Elisa Sartori, Nuno Guimarães, Ana Zwitter Vitez, Ana Filipa Pacheco, Ivan Koychev, Nana Yu, Preslav Nakov, Giovanni Da San Martino:
Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques. CLEF (Working Notes) 2024: 299-310
[c286]
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Mirela Dryankova, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Mirela at CheckThat! 2024: Check-worthiness of Tweets with Multilingual Embeddings and Adversarial Training. CLEF (Working Notes) 2024: 405-410
[c285]
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Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. LREC/COLING 2024: 4392-4403
[c284]
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Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain:
DocScript: Document-level Script Event Prediction. LREC/COLING 2024: 5140-5155
[c283]
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Ritesh Singh Soun, Atula Tejaswi Neerkaje, Ramit Sawhney, Nikolaos Aletras, Preslav Nakov:
RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. LREC/COLING 2024: 14134-14145
[c282]
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  - conf/coling/JainCNMSANCM24
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Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha:
Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. LREC/COLING 2024: 14285-14297
[c281]
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  - conf/eacl/WangLHNB24
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Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin:
Do-Not-Answer: Evaluating Safeguards in LLMs. EACL (Findings) 2024: 896-911
[c280]
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Yuxia Wang, Minghan Wang, Preslav Nakov:
Rethinking STS and NLI in Large Language Models. EACL (Findings) 2024: 965-982
[c279]
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. EACL (1) 2024: 1369-1407
[c278]
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  - conf/eacl/ChernyavskiyIN24
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Alexander Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection. EACL (1) 2024: 1452-1462
[c277]
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Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Struß, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh:
The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. ECIR (5) 2024: 449-458
[c276]
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  - conf/emnlp/HeeS0NN0L24
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Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. EMNLP (Findings) 2024: 4407-4419
[c275]
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  - conf/emnlp/AzizovMANL24
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Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh, Preslav Nakov, Shangsong Liang:
SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. EMNLP (Findings) 2024: 12217-12231
[c274]
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Yuxia Wang, Revanth Gangi Reddy, Zain Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov:
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. EMNLP (Findings) 2024: 14199-14230
[c273]
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  - conf/emnlp/ManzoorWWN24
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Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, Preslav Nakov:
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs. EMNLP (Findings) 2024: 14683-14701
[c272]
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Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I. Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding. EMNLP 2024: 15485-15505
[c271]
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Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, Preslav Nakov:
Factuality of Large Language Models: A Survey. EMNLP 2024: 19519-19529
[c270]
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  - conf/icassp/IvanovKHN24
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Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov:
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. ICASSP 2024: 12011-12015
[c269]
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Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR 2024
[c268]
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Shreya Ghosh, Prasenjit Mitra, Preslav Nakov:
Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation. ICWSM 2024: 462-473
[c267]
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  - conf/naacl/SuCN24
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Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. NAACL-HLT (Findings) 2024: 1473-1490
[c266]
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Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Confidence Estimation and Calibration in Large Language Models. NAACL-HLT 2024: 6577-6595
[c265]
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  - conf/semeval/MahmoudN24
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Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2024 Task 4: State-of-the-Art Multilingual Propaganda Detection in Memes via Zero-Shot Learning with Vision-Language Models. SemEval@NAACL 2024: 503-510
[c264]
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Dimitar Dimitrov, Firoj Alam, Maram Hasanain, Abul Hasnat, Fabrizio Silvestri, Preslav Nakov, Giovanni Da San Martino:
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. SemEval@NAACL 2024: 2009-2026
[d3]
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  - data/10/WangMISSTAMPAWAHGN24
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection. Zenodo, 2024
[i214]
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  - journals/corr/abs-2401-12713
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Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata:
Generating Unsupervised Abstractive Explanations for Rumour Verification. CoRR abs/2401.12713 (2024)
[i213]
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  - journals/corr/abs-2401-16727
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Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee:
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models. CoRR abs/2401.16727 (2024)
[i212]
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  - journals/corr/abs-2402-02420
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Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Georgiev, Rocktim Jyoti Das, Preslav Nakov:
Factuality of Large Language Models in the Year 2024. CoRR abs/2402.02420 (2024)
[i211]
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  - journals/corr/abs-2402-11175
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohanned Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. CoRR abs/2402.11175 (2024)
[i210]
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Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Lizhi Lin, Zhenxuan Zhang, Jingru Zhao, Preslav Nakov, Timothy Baldwin:
A Chinese Dataset for Evaluating the Safeguards in Large Language Models. CoRR abs/2402.12193 (2024)
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Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin:
ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. CoRR abs/2402.12840 (2024)
[i208]
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Jiahui Geng, Yova Kementchedjhieva, Preslav Nakov, Iryna Gurevych:
Multimodal Large Language Models to Support Real-World Fact-Checking. CoRR abs/2403.03627 (2024)
[i207]
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Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov:
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR abs/2403.04696 (2024)
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Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Iliyanov Dimitrov, Ivan Koychev, Preslav Nakov:
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. CoRR abs/2403.10378 (2024)
[i205]
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Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov:
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. CoRR abs/2403.17068 (2024)
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  - journals/corr/abs-2404-14183
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Chenxi Whitehouse, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov:
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection. CoRR abs/2404.14183 (2024)
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  - journals/corr/abs-2404-17342
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Teresa Lynn, Malik H. Altakrori, Samar Mohamed Magdy, Rocktim Jyoti Das, Chenyang Lyu, Mohamed Nasr, Younes Samih, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash:
Can a Multichoice Dataset be Repurposed for Extractive Question Answering? CoRR abs/2404.17342 (2024)
[i202]
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  - journals/corr/abs-2405-05583
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Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Georgiev, Jiahui Geng, Preslav Nakov:
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR abs/2405.05583 (2024)
[i201]
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  - journals/corr/abs-2405-11215
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Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty:
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. CoRR abs/2405.11215 (2024)
[i200]
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  - journals/corr/abs-2406-03181
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Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Missci: Reconstructing Fallacies in Misrepresented Science. CoRR abs/2406.03181 (2024)
[i199]
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  - journals/corr/abs-2406-05087
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Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie:
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR abs/2406.05087 (2024)
[i198]
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  - journals/corr/abs-2406-11073
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Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat:
Exploring the Limitations of Detecting Machine-Generated Text. CoRR abs/2406.11073 (2024)
[i197]
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Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, Preslav Nakov:
Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs. CoRR abs/2406.11250 (2024)
[i196]
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Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev, Akim Tsvigun, Daniil Vasilev, Rui Xing, Abdelrahman Boda Sadallah, Lyudmila Rvanova, Sergey Petrakov, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov, Artem Shelmanov:
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR abs/2406.15627 (2024)
[i195]
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  - journals/corr/abs-2406-20098
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Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen:
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR abs/2406.20098 (2024)
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  - journals/corr/abs-2407-12869
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Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham Sheinin, Zhiming Chen, Biswajit Mishra, Natalia Vassilieva, Joel Hestness, Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Onkar Pandit, Satheesh Katipomu, Samta Kamboj, Samujjwal Ghosh, Rahul Pal, Parvez Mullah, Soundar Doraiswamy, Mohamed El Karim Chami, Preslav Nakov:
Bilingual Adaptation of Monolingual Foundation Models. CoRR abs/2407.12869 (2024)
[i193]
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  - journals/corr/abs-2408-04284
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Mervat Abassy, Kareem Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov:
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. CoRR abs/2408.04284 (2024)
[i192]
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Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov:
Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. CoRR abs/2408.10692 (2024)
[i191]
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  - journals/corr/abs-2408-11832
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Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov:
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. CoRR abs/2408.11832 (2024)
[i190]
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Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych:
Grounding Fallacies Misrepresenting Scientific Publications in Evidence. CoRR abs/2408.12812 (2024)
[i189]
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  - journals/corr/abs-2409-00527
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Angel Beshirov, Milena Dobreva, Dimitar Dimitrov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Post-OCR Text Correction for Bulgarian Historical Documents. CoRR abs/2409.00527 (2024)
[i188]
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Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan:
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. CoRR abs/2409.11724 (2024)
[i187]
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  - journals/corr/abs-2409-18446
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Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang:
Exploring Language Model Generalization in Low-Resource Extractive QA. CoRR abs/2409.18446 (2024)
[i186]
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Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, May Fung, Preslav Nakov, Julia Hirschberg, Heng Ji:
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. CoRR abs/2409.18997 (2024)
[i185]
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  - journals/corr/abs-2410-01794
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Haonan Li, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov, Timothy Baldwin:
Loki: An Open-Source Tool for Fact Verification. CoRR abs/2410.01794 (2024)
2023
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Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
On the effect of dropping layers of pre-trained transformer models. Comput. Speech Lang. 77: 101429 (2023)
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Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov:
Preface: Special issue on NLP approaches to offensive content online. Nat. Lang. Eng. 29(6): 1415 (2023)
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Marcos Zampieri, Sara Rosenthal, Preslav Nakov, Alphaeus Dmonte, Tharindu Ranasinghe:
OffensEval 2023: Offensive language identification in the age of Large Language Models. Nat. Lang. Eng. 29(6): 1416-1435 (2023)
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Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
Deep active learning for misinformation detection using geometric deep learning. Online Soc. Networks Media 33: 100244 (2023)
[c263]
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  - conf/aaai/SharmaASNA023
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Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. AAAI 2023: 9763-9771
[c262]
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Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra:
Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). AAAI 2023: 16318-16319
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Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov:
Target-Based Offensive Language Identification. ACL (2) 2023: 762-770
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Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov:
Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques. ACL (1) 2023: 3001-3022
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Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) 2023: 6981-7004
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Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. ACL (1) 2023: 8733-8759
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Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. ACL (1) 2023: 14571-14589
[c256]
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Firoj Alam, Alberto Barrón-Cedeño, Gullal S. Cheema, Gautam Kishore Shahi, Sherzod Hakimov, Maram Hasanain, Chengkai Li, Rubén Míguez, Hamdy Mubarak, Wajdi Zaghouani, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 1 on Check-Worthiness in Multimodal and Multigenre Content. CLEF (Working Notes) 2023: 219-235
[c255]
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Giovanni Da San Martino, Firoj Alam, Maram Hasanain, Rabindra Nath Nandi, Dilshod Azizov, Preslav Nakov:
Overview of the CLEF-2023 CheckThat! Lab Task 3 on Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 250-259
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Alberto Barrón-Cedeño, Firoj Alam, Andrea Galassi, Giovanni Da San Martino, Preslav Nakov, Tamer Elsayed, Dilshod Azizov, Tommaso Caselli, Gullal S. Cheema, Fatima Haouari, Maram Hasanain, Mücahid Kutlu, Chengkai Li, Federico Ruggeri, Julia Maria Struß, Wajdi Zaghouani:
Overview of the CLEF-2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source. CLEF 2023: 251-275
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Preslav Nakov, Firoj Alam, Giovanni Da San Martino, Maram Hasanain, Dilshod Azizov, Rabindra Nath Nandi, Panayot Panayotov:
Overview of the CLEF-2023 CheckThat! Lab Task 4 on Factuality of Reporting of News Media. CLEF (Working Notes) 2023: 260-268
[c252]
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Dilshod Azizov, Preslav Nakov, Shangsong Liang:
Frank at CheckThat!-2023: Detecting the Political Bias of News Articles and News Media. CLEF (Working Notes) 2023: 289-305
[c251]
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Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat!-2023: A Diverse Multi-approach Ensemble for Subjectivity Detection in News Articles. CLEF (Working Notes) 2023: 404-412
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Daniel Baleato Rodríguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova:
Paper Bullets: Modeling Propaganda with the Help of Metaphor. EACL (Findings) 2023: 472-489
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Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? EACL 2023: 2141-2155
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Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Struß, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov:
The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority. ECIR (3) 2023: 506-517
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  - conf/emnlp/PanLKN23
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Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. EMNLP (Demos) 2023: 264-273
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Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403
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Shubham Mittal, Megha Sundriyal, Preslav Nakov:
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. EMNLP 2023: 3887-3902
[c244]
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Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. EMNLP (Findings) 2023: 6594-6609
[c243]
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Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. EMNLP 2023: 7787-7813
[c242]
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Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. EMNLP (Findings) 2023: 12395-12412
[c241]
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  - conf/emnlp/SalmanHSN23
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Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov:
Detecting Propaganda Techniques in Code-Switched Social Media Text. EMNLP 2023: 16794-16812
[c240]
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Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. ICWSM 2023: 103-113
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. RANLP 2023: 480-493
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  - conf/semeval/MahmoudN23
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Tarek Mahmoud, Preslav Nakov:
BERTastic at SemEval-2023 Task 3: Fine-Tuning Pretrained Multilingual Transformers Does Order Matter? SemEval@ACL 2023: 58-63
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Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-lingual and Multi-label Framing Detection with Contrastive Learning. SemEval@ACL 2023: 83-87
[c236]
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Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection Using Multilingual Models. SemEval@ACL 2023: 1237-1244
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Osama Mohammed Afzal, Preslav Nakov:
Team TheSyllogist at SemEval-2023 Task 3: Language-Agnostic Framing Detection in Multi-Lingual Online News: A Zero-Shot Transfer Approach. SemEval@ACL 2023: 2058-2061
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Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov:
SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup. SemEval@ACL 2023: 2343-2361
[c233]
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Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava:
Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. SIGIR 2023: 2108-2112
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  - conf/tvx/ElsharifSNW23
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Wala Elsharif, James She, Preslav Nakov, Simon Wong:
Enhancing Arabic Content Generation with Prompt Augmentation Using Integrated GPT and Text-to-Image Models. IMX 2023: 276-288
[c231]
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Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat:
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. ArabicNLP 2023: 483-493
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Yves Scherrer, Tommi Jauhiainen, Nikola Ljubesic, Preslav Nakov, Jörg Tiedemann, Marcos Zampieri:
Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2023, Dubrovnik, Croatia, May 5, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-50-0 [contents]
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  - journals/corr/abs-2301-06774
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Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi, Mauro Conti, Preslav Nakov, Giovanni Da San Martino, Stefano Cresci:
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence. CoRR abs/2301.06774 (2023)
[i183]
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  - journals/corr/abs-2301-11219
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Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? CoRR abs/2301.11219 (2023)
[i182]
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  - journals/corr/abs-2302-00389
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Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. CoRR abs/2302.00389 (2023)
[i181]
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  - journals/corr/abs-2304-11130
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Ashraf Haddad, Najwa Aaraj, Preslav Nakov, Septimiu Fabian Mare:
Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses. CoRR abs/2304.11130 (2023)
[i180]
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  - journals/corr/abs-2304-14339
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Qisheng Liao, Meiting Lai, Preslav Nakov:
MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learning. CoRR abs/2304.14339 (2023)
[i179]
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  - journals/corr/abs-2305-03336
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Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam:
QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models. CoRR abs/2305.03336 (2023)
[i178]
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  - journals/corr/abs-2305-12744
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Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR abs/2305.12744 (2023)
[i177]
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  - journals/corr/abs-2305-13186
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Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan:
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. CoRR abs/2305.13186 (2023)
[i176]
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  - journals/corr/abs-2305-13661
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Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. CoRR abs/2305.13661 (2023)
[i175]
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  - journals/corr/abs-2305-14534
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Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov:
Detecting Propaganda Techniques in Code-Switched Social Media Text. CoRR abs/2305.14534 (2023)
[i174]
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  - journals/corr/abs-2305-14902
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Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Alham Fikri Aji, Preslav Nakov:
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. CoRR abs/2305.14902 (2023)
[i173]
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  - journals/corr/abs-2305-18410
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Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang:
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. CoRR abs/2305.18410 (2023)
[i172]
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  - journals/corr/abs-2306-02349
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Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Ves Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev:
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. CoRR abs/2306.02349 (2023)
[i171]
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  - journals/corr/abs-2306-05535
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Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov:
Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. CoRR abs/2306.05535 (2023)
[i170]
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Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov:
DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. CoRR abs/2306.05540 (2023)
[i169]
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  - journals/corr/abs-2308-13387
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Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin:
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs. CoRR abs/2308.13387 (2023)
[i168]
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  - journals/corr/abs-2308-16149
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Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, Satheesh Katipomu, Haonan Li, Fajri Koto, Osama Mohammed Afzal, Samta Kamboj, Onkar Pandit, Rahul Pal, Lalit Pradhan, Zain Muhammad Mujahid, Massa Baali, Alham Fikri Aji, Zhengzhong Liu, Andy Hock, Andrew Feldman, Jonathan Lee, Andrew Jackson, Preslav Nakov, Timothy Baldwin, Eric P. Xing:
Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models. CoRR abs/2308.16149 (2023)
[i167]
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  - journals/corr/abs-2309-06844
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Georgi Pachov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov:
Gpachov at CheckThat! 2023: A Diverse Multi-Approach Ensemble for Subjectivity Detection in News Articles. CoRR abs/2309.06844 (2023)
[i166]
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  - journals/corr/abs-2309-08674
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Jinyan Su, Terry Yue Zhuo, Jonibek Mansurov, Di Wang, Preslav Nakov:
Fake News Detectors are Biased against Texts Generated by Large Language Models. CoRR abs/2309.08674 (2023)
[i165]
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  - journals/corr/abs-2309-08969
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Yuxia Wang, Minghan Wang, Preslav Nakov:
Rethinking STS and NLI in Large Language Models. CoRR abs/2309.08969 (2023)
[i164]
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  - journals/corr/abs-2310-05189
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Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David P. A. Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Y. Halevy, Eduard H. Hovy, Heng Ji, Filippo Menczer, Rubén Míguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni:
Factuality Challenges in the Era of Large Language Models. CoRR abs/2310.05189 (2023)
[i163]
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  - journals/corr/abs-2310-07609
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Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov:
QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. CoRR abs/2310.07609 (2023)
[i162]
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  - journals/corr/abs-2310-14338
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Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov:
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. CoRR abs/2310.14338 (2023)
[i161]
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  - journals/corr/abs-2310-16995
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Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra:
Quality > Quantity: Synthetic Corpora from Foundation Models for Closed-Domain Extractive Question Answering. CoRR abs/2310.16995 (2023)
[i160]
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Shubham Mittal, Megha Sundriyal, Preslav Nakov:
Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. CoRR abs/2310.18205 (2023)
[i159]
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  - journals/corr/abs-2311-03179
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Maram Hasanain, Firoj Alam, Hamdy Mubarak, Samir Abdaljalil, Wajdi Zaghouani, Preslav Nakov, Giovanni Da San Martino, Abed Alhakim Freihat:
ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text. CoRR abs/2311.03179 (2023)
[i158]
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  - journals/corr/abs-2311-04917
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Jinyan Su, Claire Cardie, Preslav Nakov:
Adapting Fake News Detection to the Era of Large Language Models. CoRR abs/2311.04917 (2023)
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Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych:
A Template Is All You Meme. CoRR abs/2311.06649 (2023)
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Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych:
A Survey of Language Model Confidence Estimation and Calibration. CoRR abs/2311.08298 (2023)
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Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov:
Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. CoRR abs/2311.09000 (2023)
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Tariq Alhindi, Smaranda Muresan, Preslav Nakov:
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. CoRR abs/2311.09552 (2023)
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Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing:
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR abs/2312.06550 (2023)
2022
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Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: leveraging social context for fake news detection using graph representation. Commun. ACM 65(4): 124-132 (2022)
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Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighborhood Framework for Resource-Lean Content Flagging. Trans. Assoc. Comput. Linguistics 10: 484-502 (2022)
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. AAAI 2022: 10729-10737
[c229]
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Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Hamdy Mubarak, Alex Nikolov, Yavuz Selim Kartal:
Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets. CLEF (Working Notes) 2022: 368-392
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Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Shaden Shaar, Hamdy Mubarak, Nikolay Babulkov:
Overview of the CLEF-2022 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims. CLEF (Working Notes) 2022: 393-403
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Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Michael Wiegand, Melanie Siegel, Juliane Köhler:
Overview of the CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. CLEF 2022: 495-520
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Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. COLING 2022: 6625-6643
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Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. KhudaBukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing Around Vaping. CSoNet 2022: 188-199
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Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. ECIR (2) 2022: 321-328
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Preslav Nakov, Alberto Barrón-Cedeño, Giovanni Da San Martino, Firoj Alam, Julia Maria Struß, Thomas Mandl, Rubén Míguez, Tommaso Caselli, Mücahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Javier Beltrán:
The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. ECIR (2) 2022: 416-428
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Shaden Shaar, Nikola Georgiev, Firoj Alam, Giovanni Da San Martino, Aisha Mohamed, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. EMNLP (Findings) 2022: 2069-2080
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Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du:
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. EMNLP 2022: 4971-4983
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Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. EMNLP 2022: 6002-6018
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Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, Preslav Nakov:
GREENER: Graph Neural Networks for News Media Profiling. EMNLP 2022: 7470-7480
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Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854
[c217]
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Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. IJCAI 2022: 5597-5606
[c216]
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Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev, Dmitry Ilvovsky, Preslav Nakov:
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media. AACL/IJCNLP (1) 2022: 266-285
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Giorgio Barnabò, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri:
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. IJCNN 2022: 1-8
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Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji:
The Battlefront of Combating Misinformation and Coping with Media Bias. KDD 2022: 4790-4791
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Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov:
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks. NAACL-HLT 2022: 116-126
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. NAACL-HLT (Findings) 2022: 1259-1277
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Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. NAACL-HLT (Findings) 2022: 1572-1588
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Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. NAACL-HLT (Findings) 2022: 1619-1631
[c209]
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Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek:
Towards Suicide Ideation Detection Through Online Conversational Context. SIGIR 2022: 1716-1727
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Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, Preslav Nakov:
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic. WANLP@EMNLP 2022: 108-118
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  - conf/wanlp/MittalN22
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Shubham Mittal, Preslav Nakov:
IITD at WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection. WANLP@EMNLP 2022: 529-533
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Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. WebSci 2022: 191-201
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Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty:
Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. WSDM 2022: 1629-1631
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Preslav Nakov, Giovanni Da San Martino, Firoj Alam:
Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. WSDM 2022: 1632-1634
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Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399
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Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-21-6 [contents]
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Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-22-3 [contents]
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Smaranda Muresan, Preslav Nakov, Aline Villavicencio:
Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-25-4 [contents]
[i152]
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Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Leaf: Multiple-Choice Question Generation. CoRR abs/2201.09012 (2022)
[i151]
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Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji:
Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation. CoRR abs/2203.05386 (2022)
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Preslav Nakov, Firoj Alam, Yifan Zhang, Animesh Prakash, Fahim Dalvi:
QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Media. CoRR abs/2204.03506 (2022)
[i149]
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Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty:
Detecting and Understanding Harmful Memes: A Survey. CoRR abs/2205.04274 (2022)
[i148]
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Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations. CoRR abs/2205.04402 (2022)
[i147]
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Rabindra Nath Nandi, Firoj Alam, Preslav Nakov:
TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification. CoRR abs/2205.04404 (2022)
[i146]
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Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
DISARM: Detecting the Victims Targeted by Harmful Memes. CoRR abs/2205.05738 (2022)
[i145]
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Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Rohan Aanegola, Lam Yin Cheung, Preslav Ivanov Nakov, Shweta Yadav, Angus Bancroft, Ashiqur R. KhudaBukhsh, Munmun De Choudhury, Frederick L. Altice, Navin Kumar:
US News and Social Media Framing around Vaping. CoRR abs/2206.07765 (2022)
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Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Preslav Ivanov Nakov, Chris T. Bauch, Orestis Papakyriakopoulos, Kaveh Khoshnood, Navin Kumar:
Partisan US News Media Representations of Syrian Refugees. CoRR abs/2206.09024 (2022)
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Sanjay Chawla, Preslav Nakov, Ahmed Ali, Wendy Hall, Issa Khalil, Xiaosong Ma, Husrev Taha Sencar, Ingmar Weber, Michael A. Wooldridge, Ting Yu:
Ten Years after ImageNet: A 360° Perspective on AI. CoRR abs/2210.01797 (2022)
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Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev, Dmitry Ilvovsky, Preslav Nakov:
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media. CoRR abs/2210.04447 (2022)
[i141]
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Shubham Mittal, Preslav Nakov:
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection. CoRR abs/2210.17190 (2022)
[i140]
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Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du:
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. CoRR abs/2211.02816 (2022)
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Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, Preslav Nakov:
GREENER: Graph Neural Networks for News Media Profiling. CoRR abs/2211.05533 (2022)
[i138]
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Firoj Alam, Hamdy Mubarak, Wajdi Zaghouani, Giovanni Da San Martino, Preslav Nakov:
Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic. CoRR abs/2211.10057 (2022)
[i137]
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Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty:
What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. CoRR abs/2212.00715 (2022)
2021
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Vivi Nastase, Stan Szpakowicz, Preslav Nakov, Diarmuid Ó Séaghdha:
Semantic Relations Between Nominals, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2021, ISBN 978-3-031-01050-7, pp. 1-234
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Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Hassan Sajjad, Preslav Nakov, Deming Chen, Marianne Winslett:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. Trans. Assoc. Comput. Linguistics 9: 1061-1080 (2021)
[c202]
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Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic:
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. AAAI 2021: 12728-12737
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Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. ACL/IJCNLP (Findings) 2021: 915-928
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Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. ACL/IJCNLP (Findings) 2021: 2783-2796
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Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. ACL/IJCNLP (1) 2021: 6603-6617
[c198]
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  - conf/cikm/ChernyavskiyIN21
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CIKM 2021: 4690-4695
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Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, and Media Bias. CIKM 2021: 4862-4865
[c196]
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Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CLEF 2021: 264-291
[c195]
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Shaden Shaar, Maram Hasanain, Bayan Hamdan, Zien Sheikh Ali, Fatima Haouari, Alex Nikolov, Mücahid Kutlu, Yavuz Selim Kartal, Firoj Alam, Giovanni Da San Martino, Alberto Barrón-Cedeño, Rubén Míguez, Javier Beltrán, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 1 on Check-Worthiness Estimation in Tweets and Political Debates. CLEF (Working Notes) 2021: 369-392
[c194]
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Shaden Shaar, Fatima Haouari, Watheq Mansour, Maram Hasanain, Nikolay Babulkov, Firoj Alam, Giovanni Da San Martino, Tamer Elsayed, Preslav Nakov:
Overview of the CLEF-2021 CheckThat! Lab Task 2 on Detecting Previously Fact-Checked Claims in Tweets and Political Debates. CLEF (Working Notes) 2021: 393-405
[c193]
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at CLEF CheckThat! 2021: Lambda-Calculus of Fact-Checked Claims. CLEF (Working Notes) 2021: 484-493
[c192]
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Simona Mihaylova, Iva Borisova, Dzhovani Chemishanov, Preslav Hadzhitsanev, Momchil Hardalov, Preslav Nakov:
DIPS at CheckThat! 2021: Verified Claim Retrieval. CLEF (Working Notes) 2021: 558-571
[c191]
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Beata Skuczynska, Shaden Shaar, Jennifer Spenader, Preslav Nakov:
BeaSku at CheckThat! 2021: Fine-Tuning Sentence BERT with Triplet Loss and Limited Data. CLEF (Working Notes) 2021: 639-647
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Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl:
The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. ECIR (2) 2021: 639-649
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Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. EMNLP (Findings) 2021: 611-649
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Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. EMNLP (1) 2021: 1460-1476
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Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. EMNLP (Findings) 2021: 4439-4455
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. EMNLP (1) 2021: 9011-9028
[c185]
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Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. ICWSM 2021: 913-922
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Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. IJCAI 2021: 4551-4558
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Preslav Nakov, Giovanni Da San Martino:
Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. KDD 2021: 4054-4055
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for Natural Language Processing? ECML/PKDD (3) 2021: 677-693
[c181]
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Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels. RANLP 2021: 182-189
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Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing. RANLP 2021: 997-1009
[c179]
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Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar. RANLP 2021: 1010-1021
[c178]
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Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. RANLP 2021: 1597-1605
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  - conf/semeval/DimitrovASASFNM21
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Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. SemEval@ACL/IJCNLP 2021: 70-98
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Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer, Tommi Jauhiainen:
Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@EACL 2021, Kiyv, Ukraine, April 20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-12-1 [contents]
[i136]
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Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein:
Detecting Abusive Language on Online Platforms: A Critical Analysis. CoRR abs/2103.00153 (2021)
[i135]
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. CoRR abs/2103.00242 (2021)
[i134]
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Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino:
Automated Fact-Checking for Assisting Human Fact-Checkers. CoRR abs/2103.07769 (2021)
[i133]
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Preslav Nakov, Husrev Taha Sencar, Jisun An, Haewoon Kwak:
A Survey on Predicting the Factuality and the Bias of News Media. CoRR abs/2103.12506 (2021)
[i132]
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Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov:
A Survey on Multimodal Disinformation Detection. CoRR abs/2103.12541 (2021)
[i131]
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Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov:
A Neighbourhood Framework for Resource-Lean Content Flagging. CoRR abs/2103.17055 (2021)
[i130]
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Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
The Role of Context in Detecting Previously Fact-Checked Claims. CoRR abs/2104.07423 (2021)
[i129]
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. CoRR abs/2104.07467 (2021)
[i128]
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Tariq Alhindi, Amal Alabdulkarim, Ali Alshehri, Muhammad Abdul-Mageed, Preslav Nakov:
AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking. CoRR abs/2104.13559 (2021)
[i127]
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Transformers: "The End of History" for NLP? CoRR abs/2105.00813 (2021)
[i126]
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. CoRR abs/2105.00826 (2021)
[i125]
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Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images. CoRR abs/2105.09284 (2021)
[i124]
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  - journals/corr/abs-2108-12519
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Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov:
Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels. CoRR abs/2108.12519 (2021)
[i123]
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Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov:
Interpretable Propaganda Detection in News Articles. CoRR abs/2108.12802 (2021)
[i122]
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Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators. CoRR abs/2108.12898 (2021)
[i121]
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Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. CoRR abs/2109.05184 (2021)
[i120]
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Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR abs/2109.06050 (2021)
[i119]
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Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov:
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. CoRR abs/2109.07410 (2021)
[i118]
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Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino:
Detecting Propaganda Techniques in Memes. CoRR abs/2109.08013 (2021)
[i117]
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Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang:
A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar. CoRR abs/2109.11372 (2021)
[i116]
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Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman:
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection. CoRR abs/2109.12986 (2021)
[i115]
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Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mücahid Kutlu, Yavuz Selim Kartal:
Overview of the CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. CoRR abs/2109.12987 (2021)
[i114]
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Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti:
RuleBert: Teaching Soft Rules to Pre-trained Language Models. CoRR abs/2109.13006 (2021)
[i113]
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Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino, Mauro Conti, Preslav Nakov:
The Spread of Propaganda by Coordinated Communities on Social Media. CoRR abs/2109.13046 (2021)
[i112]
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Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. CoRR abs/2109.13723 (2021)
[i111]
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Preslav Nakov, Hwee Tou Ng:
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. CoRR abs/2109.13724 (2021)
[i110]
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Dame Jovanoski, Veno Pachovski, Preslav Nakov:
Sentiment Analysis in Twitter for Macedonian. CoRR abs/2109.13725 (2021)
[i109]
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Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. CoRR abs/2109.13726 (2021)
[i108]
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  - journals/corr/abs-2109-15118
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Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims. CoRR abs/2109.15118 (2021)
[i107]
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Preslav Nakov:
Improved statistical machine translation using monolingual paraphrases. CoRR abs/2109.15119 (2021)
[i106]
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  - journals/corr/abs-2109-15120
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Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering. CoRR abs/2109.15120 (2021)
[i105]
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Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. CoRR abs/2109.15121 (2021)
[i104]
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  - journals/corr/abs-2110-00413
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Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty:
Detecting Harmful Memes and Their Targets. CoRR abs/2110.00413 (2021)
[i103]
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  - journals/corr/abs-2110-15725
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Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov:
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks. CoRR abs/2110.15725 (2021)
2020
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Marcos Zampieri, Preslav Nakov, Yves Scherrer:
Natural language processing for similar languages, varieties, and dialects: A survey. Nat. Lang. Eng. 26(6): 595-612 (2020)
[c176]
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  - conf/acl/MartinoSZYBN20
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Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. ACL (demo) 2020: 287-293
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  - conf/acl/StefanovDAN20
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Peter Stefanov, Kareem Darwish, Atanas Atanasov, Preslav Nakov:
Predicting the Topical Stance and Political Leaning of Media using Tweets. ACL 2020: 527-537
[c174]
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  - conf/acl/BalyKAKDAGN20
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Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov:
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. ACL 2020: 3364-3374
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  - conf/acl/ShaarBMN20
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Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. ACL 2020: 3607-3618
[c172]
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  - conf/cikm/NguyenSNK20
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Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CIKM 2020: 1165-1174
[c171]
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  - conf/clef/Barron-CedenoEN20
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat! 2020: Automatic Identification and Verification of Claims in Social Media. CLEF 2020: 215-236
[c170]
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Maram Hasanain, Fatima Haouari, Reem Suwaileh, Zien Sheikh Ali, Bayan Hamdan, Tamer Elsayed, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020i Arabic: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020
[c169]
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Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CLEF (Working Notes) 2020
[c168]
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Shaden Shaar, Alex Nikolov, Nikolay Babulkov, Firoj Alam, Alberto Barrón-Cedeño, Tamer Elsayed, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Giovanni Da San Martino, Preslav Nakov:
Overview of CheckThat! 2020 English: Automatic Identification and Verification of Claims in Social Media. CLEF (Working Notes) 2020
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. ECIR (2) 2020: 499-507
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  - conf/emnlp/NakovM20
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Preslav Nakov, Giovanni Da San Martino:
Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era. EMNLP (Tutorial Abstracts) 2020: 7-19
[c165]
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Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. EMNLP (1) 2020: 4982-4991
[c164]
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Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering. EMNLP (1) 2020: 5427-5444
[c163]
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Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing:
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) 2020: 7975-7984
[c162]
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  - conf/evalita/Nakov20
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Preslav Nakov:
Flattening the Curve of the COVID-19 Infodemic: These Evaluation Campaigns Can Help! EVALITA 2020
[c161]
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Kareem Darwish, Peter Stefanov, Michaël J. Aupetit, Preslav Nakov:
Unsupervised User Stance Detection on Twitter. ICWSM 2020: 141-152
[c160]
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Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. IJCAI 2020: 4826-4832
[c159]
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  - conf/semeval/MartinoBWPN20
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. SemEval@COLING 2020: 1377-1414
[c158]
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Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). SemEval@COLING 2020: 1425-1447
[c157]
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
Aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. SemEval@COLING 2020: 1462-1468
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Emiliano De Cristofaro, Preslav Nakov:
Proceedings of the 2020 Truth and Trust Online Conference (TTO 2020), Virtual, October 15-17, 2020. Hacks Hackers 2020, ISBN 978-1-7359904-0-8 [contents]
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Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Yves Scherrer:
Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2020, Barcelona, Spain (Online), December 13, 2020. International Committee on Computational Linguistics (ICCL) 2020, ISBN 978-1-952148-47-7 [contents]
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. Zenodo, 2020
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Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). Zenodo, 2020
[i102]
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  - journals/corr/abs-2001-08546
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari:
CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. CoRR abs/2001.08546 (2020)
[i101]
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  - journals/corr/abs-2002-11985
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Prakhar Ganesh, Yao Chen, Xin Lou, Mohammad Ali Khan, Yin Yang, Deming Chen, Marianne Winslett, Hassan Sajjad, Preslav Nakov:
Compressing Large-Scale Transformer-Based Models: A Case Study on BERT. CoRR abs/2002.11985 (2020)
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  - journals/corr/abs-2004-03844
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Hassan Sajjad, Fahim Dalvi, Nadir Durrani, Preslav Nakov:
Poor Man's BERT: Smaller and Faster Transformer Models. CoRR abs/2004.03844 (2020)
[i99]
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Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov:
A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. CoRR abs/2004.14454 (2020)
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  - journals/corr/abs-2004-14848
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. CoRR abs/2004.14848 (2020)
[i97]
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  - journals/corr/abs-2005-00033
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Firoj Alam, Shaden Shaar, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Fahim Dalvi, Nadir Durrani, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. CoRR abs/2005.00033 (2020)
[i96]
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  - journals/corr/abs-2005-04518
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Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov:
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. CoRR abs/2005.04518 (2020)
[i95]
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  - journals/corr/abs-2005-05854
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Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov:
Prta: A System to Support the Analysis of Propaganda Techniques in the News. CoRR abs/2005.05854 (2020)
[i94]
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  - journals/corr/abs-2005-06058
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Shaden Shaar, Giovanni Da San Martino, Nikolay Babulkov, Preslav Nakov:
That is a Known Lie: Detecting Previously Fact-Checked Claims. CoRR abs/2005.06058 (2020)
[i93]
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  - journals/corr/abs-2006-07235
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Marcos Zampieri, Preslav Nakov, Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Hamdy Mubarak, Leon Derczynski, Zeses Pitenis, Çagri Çöltekin:
SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020). CoRR abs/2006.07235 (2020)
[i92]
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  - journals/corr/abs-2007-07996
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Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov:
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. CoRR abs/2007.07996 (2020)
[i91]
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Alberto Barrón-Cedeño, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari, Nikolay Babulkov, Bayan Hamdan, Alex Nikolov, Shaden Shaar, Zien Sheikh Ali:
Overview of CheckThat 2020: Automatic Identification and Verification of Claims in Social Media. CoRR abs/2007.07997 (2020)
[i90]
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  - journals/corr/abs-2007-08024
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Giovanni Da San Martino, Stefano Cresci, Alberto Barrón-Cedeño, Seunghak Yu, Roberto Di Pietro, Preslav Nakov:
A Survey on Computational Propaganda Detection. CoRR abs/2007.08024 (2020)
[i89]
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Guillem Ramírez, Rumen Dangovski, Preslav Nakov, Marin Soljacic:
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning. CoRR abs/2007.09456 (2020)
[i88]
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Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov:
aschern at SemEval-2020 Task 11: It Takes Three to Tango: RoBERTa, CRF, and Transfer Learning. CoRR abs/2008.02837 (2020)
[i87]
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Preslav Nakov:
Can We Spot the "Fake News" Before It Was Even Written? CoRR abs/2008.04374 (2020)
[i86]
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  - journals/corr/abs-2008-07939
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Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan:
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. CoRR abs/2008.07939 (2020)
[i85]
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  - journals/corr/abs-2009-02696
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Henning Wachsmuth, Rostislav Petrov, Preslav Nakov:
SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles. CoRR abs/2009.02696 (2020)
[i84]
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  - journals/corr/abs-2009-02931
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Alex Nikolov, Giovanni Da San Martino, Ivan Koychev, Preslav Nakov:
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models. CoRR abs/2009.02931 (2020)
[i83]
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  - journals/corr/abs-2010-05338
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Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov:
We Can Detect Your Bias: Predicting the Political Ideology of News Articles. CoRR abs/2010.05338 (2020)
[i82]
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  - journals/corr/abs-2010-08412
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Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing:
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR abs/2010.08412 (2020)
[i81]
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  - journals/corr/abs-2011-03080
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Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov:
EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering. CoRR abs/2011.03080 (2020)
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  - journals/corr/abs-2012-02030
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Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic:
Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. CoRR abs/2012.02030 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots. Inf. 10(3): 82 (2019)
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Alberto Barrón-Cedeño, Israa Jaradat, Giovanni Da San Martino, Preslav Nakov:
Proppy: Organizing the news based on their propagandistic content. Inf. Process. Manag. 56(5): 1849-1864 (2019)
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Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. ACM J. Data Inf. Qual. 11(3): 12:1-12:27 (2019)
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  - journals/nle/NakovMMM19
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Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak:
Arabic community question answering. Nat. Lang. Eng. 25(1): 5-41 (2019)
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Marcos Zampieri, Preslav Nakov:
Preface. Nat. Lang. Eng. 25(5): 559 (2019)
[j14]
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  - journals/tacl/DangovskiJNTS19
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Rumen Dangovski, Li Jing, Preslav Nakov, Mico Tatalovic, Marin Soljacic:
Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications. Trans. Assoc. Comput. Linguistics 7: 121-138 (2019)
[c156]
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  - conf/aaai/Barron-CedenoMJ19
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. AAAI 2019: 9847-9848
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  - conf/asru/KopevAKN19
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Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Detecting Deception in Political Debates Using Acoustic and Textual Features. ASRU 2019: 652-659
[c154]
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Pepa Atanasova, Preslav Nakov, Georgi Karadzhov, Mitra Mohtarami, Giovanni Da San Martino:
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 1: Check-Worthiness. CLEF (Working Notes) 2019
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Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. CLEF 2019: 301-321
[c152]
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Maram Hasanain, Reem Suwaileh, Tamer Elsayed, Alberto Barrón-Cedeño, Preslav Nakov:
Overview of the CLEF-2019 CheckThat! Lab: Automatic Identification and Verification of Claims. Task 2: Evidence and Factuality. CLEF (Working Notes) 2019
[c151]
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Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov:
Predicting the Role of Political Trolls in Social Media. CoNLL 2019: 1023-1034
[c150]
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Todor Staykovski, Alberto Barrón-Cedeño, Giovanni Da San Martino, Preslav Nakov:
Dense vs. Sparse Representations for News Stream Clustering. Text2Story@ECIR 2019: 47-52
[c149]
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Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova:
CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims. ECIR (2) 2019: 309-315
[c148]
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  - conf/emnlp/ZhangMBRAKSJKBD19
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Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. EMNLP/IJCNLP (3) 2019: 223-228
[c147]
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Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev:
Fact-Checking Meets Fauxtography: Verifying Claims About Images. EMNLP/IJCNLP (1) 2019: 2099-2108
[c146]
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Prathyusha Jwalapuram, Shafiq R. Joty, Irina P. Temnikova, Preslav Nakov:
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. EMNLP/IJCNLP (1) 2019: 2964-2973
[c145]
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Mitra Mohtarami, James R. Glass, Preslav Nakov:
Contrastive Language Adaptation for Cross-Lingual Stance Detection. EMNLP/IJCNLP (1) 2019: 4441-4451
[c144]
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Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Article. EMNLP/IJCNLP (1) 2019: 5635-5645
[c143]
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  - conf/interspeech/Dinkov0KN19
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Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information. INTERSPEECH 2019: 501-505
[c142]
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Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
Predicting the Type and Target of Offensive Posts in Social Media. NAACL-HLT (1) 2019: 1415-1420
[c141]
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Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov:
One Size Does Not Fit All: Comparing NMT Representations of Different Granularities. NAACL-HLT (1) 2019: 1504-1516
[c140]
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Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James R. Glass, Preslav Nakov:
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. NAACL-HLT (1) 2019: 2109-2116
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Yoan Dinkov, Ivan Koychev, Preslav Nakov:
Detecting Toxicity in News Articles: Application to Bulgarian. RANLP 2019: 247-258
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian. RANLP 2019: 447-459
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Lilia Simeonova, Kiril Simov, Petya Osenova, Preslav Nakov:
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition. RANLP 2019: 1104-1113
[c136]
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Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov:
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction. RANLP 2019: 1229-1239
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  - conf/semeval/ZampieriMNRFK19
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Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). SemEval@NAACL-HLT 2019: 75-86
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Tsvetomila Mihaylova, Georgi Karadzhov, Pepa Atanasova, Ramy Baly, Mitra Mohtarami, Preslav Nakov:
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. SemEval@NAACL-HLT 2019: 860-869
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Daniel Shaprin, Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov:
Team Jack Ryder at SemEval-2019 Task 4: Using BERT Representations for Detecting Hyperpartisan News. SemEval@NAACL-HLT 2019: 1012-1015
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Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James R. Glass:
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 1041-1046
[c131]
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  - conf/sigir/AtanasovaKKN019
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Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. SIGIR 2019: 997-1000
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Preslav Nakov, Alexis Palmer:
Proceedings of the 57th Conference of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2019, Florence, Italy, July 28, 2019, Volume 4: Tutorial Abstracts. Association for Computational Linguistics 2019, ISBN 978-1-950737-50-5 [contents]
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Tomaz Erjavec, Michal Marcinczuk, Preslav Nakov, Jakub Piskorski, Lidia Pivovarova, Jan Snajder, Josef Steinberger, Roman Yangarber:
Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing, BSNLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-41-3 [contents]
[i79]
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  - journals/corr/abs-1902-04574
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Machine Reading Comprehension for Answer Re-Ranking in Customer Support Chatbots. CoRR abs/1902.04574 (2019)
[i78]
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  - journals/corr/abs-1902-09666
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Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
Predicting the Type and Target of Offensive Posts in Social Media. CoRR abs/1902.09666 (2019)
[i77]
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  - journals/corr/abs-1903-08983
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Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar:
SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). CoRR abs/1903.08983 (2019)
[i76]
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  - journals/corr/abs-1904-00542
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Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James R. Glass, Preslav Nakov:
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. CoRR abs/1904.00542 (2019)
[i75]
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Kareem Darwish, Peter Stefanov, Michaël J. Aupetit, Preslav Nakov:
Unsupervised User Stance Detection on Twitter. CoRR abs/1904.02000 (2019)
[i74]
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Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James R. Glass:
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection. CoRR abs/1904.03513 (2019)
[i73]
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  - journals/corr/abs-1905-10565
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Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani:
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. CoRR abs/1905.10565 (2019)
[i72]
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  - journals/corr/abs-1906-01727
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Tsvetomila Mihaylova, Georgi Karadjov, Pepa Atanasova, Ramy Baly, Mitra Mohtarami, Preslav Nakov:
SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums. CoRR abs/1906.01727 (2019)
[i71]
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  - journals/corr/abs-1906-06917
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Daniel Kopev, Dimitrina Zlatkova, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Recursive Style Breach Detection with Multifaceted Ensemble Learning. CoRR abs/1906.06917 (2019)
[i70]
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  - journals/corr/abs-1907-01260
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Peter Stefanov, Kareem Darwish, Preslav Nakov:
Predicting the Topical Stance of Media and Popular Twitter Users. CoRR abs/1907.01260 (2019)
[i69]
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  - journals/corr/abs-1908-01328
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Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James R. Glass:
Automatic Fact-Checking Using Context and Discourse Information. CoRR abs/1908.01328 (2019)
[i68]
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  - journals/corr/abs-1908-01519
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Beyond English-only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian. CoRR abs/1908.01519 (2019)
[i67]
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  - journals/corr/abs-1908-07912
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Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov:
It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction. CoRR abs/1908.07912 (2019)
[i66]
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  - journals/corr/abs-1908-09785
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Yoan Dinkov, Ivan Koychev, Preslav Nakov:
Detecting Toxicity in News Articles: Application to Bulgarian. CoRR abs/1908.09785 (2019)
[i65]
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  - journals/corr/abs-1908-10261
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Lilia Simeonova, Kiril Ivanov Simov, Petya Osenova, Preslav Nakov:
A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition. CoRR abs/1908.10261 (2019)
[i64]
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  - journals/corr/abs-1908-11722
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Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev:
Fact-Checking Meets Fauxtography: Verifying Claims About Images. CoRR abs/1908.11722 (2019)
[i63]
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  - journals/corr/abs-1909-00131
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Prathyusha Jwalapuram, Shafiq R. Joty, Irina P. Temnikova, Preslav Nakov:
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. CoRR abs/1909.00131 (2019)
[i62]
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  - journals/corr/abs-1910-01990
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Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Detecting Deception in Political Debates Using Acoustic and Textual Features. CoRR abs/1910.01990 (2019)
[i61]
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  - journals/corr/abs-1910-02001
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Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov:
Predicting the Role of Political Trolls in Social Media. CoRR abs/1910.02001 (2019)
[i60]
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  - journals/corr/abs-1910-02028
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Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. CoRR abs/1910.02028 (2019)
[i59]
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  - journals/corr/abs-1910-02076
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Mitra Mohtarami, James R. Glass, Preslav Nakov:
Contrastive Language Adaptation for Cross-Lingual Stance Detection. CoRR abs/1910.02076 (2019)
[i58]
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  - journals/corr/abs-1910-02517
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Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov:
Fine-Grained Analysis of Propaganda in News Articles. CoRR abs/1910.02517 (2019)
[i57]
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  - journals/corr/abs-1910-08948
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Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information. CoRR abs/1910.08948 (2019)
[i56]
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  - journals/corr/abs-1910-09982
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Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov:
Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection. CoRR abs/1910.09982 (2019)
[i55]
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  - journals/corr/abs-1911-06815
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Seunghak Yu, Giovanni Da San Martino, Preslav Nakov:
Experiments in Detecting Persuasion Techniques in the News. CoRR abs/1911.06815 (2019)
[i54]
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  - journals/corr/abs-1911-08113
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Todor Mihaylov, Preslav Nakov:
Hunting for Troll Comments in News Community Forums. CoRR abs/1911.08113 (2019)
[i53]
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  - journals/corr/abs-1911-08117
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Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. CoRR abs/1911.08117 (2019)
[i52]
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  - journals/corr/abs-1911-08125
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
In Search of Credible News. CoRR abs/1911.08125 (2019)
[i51]
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  - journals/corr/abs-1911-08743
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Todor Mihaylov, Preslav Nakov:
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. CoRR abs/1911.08743 (2019)
[i50]
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  - journals/corr/abs-1911-08755
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Shafiq R. Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Global Thread-Level Inference for Comment Classification in Community Question Answering. CoRR abs/1911.08755 (2019)
[i49]
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  - journals/corr/abs-1911-08762
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Preslav Nakov:
Paraphrasing Verbs for Noun Compound Interpretation. CoRR abs/1911.08762 (2019)
[i48]
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  - journals/corr/abs-1911-10421
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Iris Hendrickx, Preslav Nakov, Stan Szpakowicz, Zornitsa Kozareva, Diarmuid Ó Séaghdha, Tony Veale:
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. CoRR abs/1911.10421 (2019)
[i47]
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  - journals/corr/abs-1911-10422
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Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz:
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. CoRR abs/1911.10422 (2019)
[i46]
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  - journals/corr/abs-1911-11403
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Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, James R. Glass, Bilal Randeree:
SemEval-2015 Task 3: Answer Selection in Community Question Answering. CoRR abs/1911.11403 (2019)
[i45]
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  - journals/corr/abs-1911-11503
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Georgi Georgiev, Valentin Zhikov, Petya Osenova, Kiril Simov, Preslav Nakov:
Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian. CoRR abs/1911.11503 (2019)
[i44]
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  - journals/corr/abs-1911-12085
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Su Nam Kim, Preslav Nakov:
Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus. CoRR abs/1911.12085 (2019)
[i43]
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  - journals/corr/abs-1911-12091
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Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. CoRR abs/1911.12091 (2019)
[i42]
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  - journals/corr/abs-1911-12544
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Veselin Raychev, Preslav Nakov:
Language-Independent Sentiment Analysis Using Subjectivity and Positional Information. CoRR abs/1911.12544 (2019)
[i41]
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  - journals/corr/abs-1911-12547
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Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. CoRR abs/1911.12547 (2019)
[i40]
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Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. CoRR abs/1912.00730 (2019)
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Sara Rosenthal, Noura Farra, Preslav Nakov:
SemEval-2017 Task 4: Sentiment Analysis in Twitter. CoRR abs/1912.00741 (2019)
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  - journals/corr/abs-1912-01113
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Preslav Nakov:
Using the Web as an Implicit Training Set: Application to Noun Compound Syntax and Semantics. CoRR abs/1912.01113 (2019)
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Evgeni Stefchov, Galia Angelova, Preslav Nakov:
Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts. CoRR abs/1912.01831 (2019)
[i36]
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Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, James R. Glass, Bilal Randeree:
SemEval-2016 Task 3: Community Question Answering. CoRR abs/1912.01972 (2019)
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Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. CoRR abs/1912.01973 (2019)
[i34]
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Sara Rosenthal, Saif M. Mohammad, Preslav Nakov, Alan Ritter, Svetlana Kiritchenko, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. CoRR abs/1912.02387 (2019)
[i33]
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Sara Rosenthal, Preslav Nakov, Alan Ritter, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. CoRR abs/1912.02990 (2019)
[i32]
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Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation Meets Community Question Answering. CoRR abs/1912.02998 (2019)
[i31]
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. CoRR abs/1912.03135 (2019)
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Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. CoRR abs/1912.06806 (2019)
[i29]
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Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov:
Proppy: A System to Unmask Propaganda in Online News. CoRR abs/1912.06810 (2019)
[i28]
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Pepa Gencheva, Ivan Koychev, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov:
A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates. CoRR abs/1912.08084 (2019)
2018
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Todor Mihaylov, Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Georgi Georgiev, Ivan Koychev:
The dark side of news community forums: opinion manipulation trolls. Internet Res. 28(5): 1292-1312 (2018)
[c130]
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Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass:
Fact Checking in Community Forums. AAAI 2018: 5309-5316
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Towards Automated Customer Support. AIMSA 2018: 48-59
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Evgeni Stefchov, Galia Angelova, Preslav Nakov:
Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts. AIMSA 2018: 115-125
[c127]
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Daniel Kopev, Dimitrina Zlatkova, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Recursive Style Breach Detection with Multifaceted Ensemble Learning. AIMSA 2018: 126-137
[c126]
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Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. CLEF (Working Notes) 2018
[c125]
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Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Pepa Atanasova, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality. CLEF (Working Notes) 2018
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Preslav Nakov, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Lluís Màrquez, Wajdi Zaghouani, Pepa Atanasova, Spas Kyuchukov, Giovanni Da San Martino:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. CLEF 2018: 372-387
[c123]
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Dimitrina Zlatkova, Daniel Kopev, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov:
An Ensemble-Rich Multi-Aspect Approach Towards Robust Style Change Detection: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018
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Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov:
Adversarial Domain Adaptation for Duplicate Question Detection. EMNLP 2018: 1056-1063
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  - conf/emnlp/BalyKAGN18
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Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov:
Predicting Factuality of Reporting and Bias of News Media Sources. EMNLP 2018: 3528-3539
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Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. EMNLP 2018: 4196-4207
[c119]
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Ramy Baly, Mitra Mohtarami, James R. Glass, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Integrating Stance Detection and Fact Checking in a Unified Corpus. NAACL-HLT (2) 2018: 21-27
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Israa Jaradat, Pepa Gencheva, Alberto Barrón-Cedeño, Lluís Màrquez, Preslav Nakov:
ClaimRank: Detecting Check-Worthy Claims in Arabic and English. NAACL-HLT (Demonstrations) 2018: 26-30
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Mitra Mohtarami, Ramy Baly, James R. Glass, Preslav Nakov, Lluís Màrquez, Alessandro Moschitti:
Automatic Stance Detection Using End-to-End Memory Networks. NAACL-HLT 2018: 767-776
[c116]
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Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Ahmed Ali, Suwon Shon, James R. Glass, Yves Scherrer, Tanja Samardzic, Nikola Ljubesic, Jörg Tiedemann, Chris van der Lee, Stefan Grondelaers, Nelleke Oostdijk, Dirk Speelman, Antal van den Bosch, Ritesh Kumar, Bornini Lahiri, Mayank Jain:
Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign. VarDial@COLING 2018 2018: 1-17
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Marcos Zampieri, Preslav Nakov, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi, Ahmed Ali:
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2018, Santa Fe, New Mexico, USA, August 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-55-1 [contents]
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Preslav Nakov:
Semantic Sentiment Analysis of Twitter Data. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
[i27]
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Tsvetomila Mihaylova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Mitra Mohtarami, Georgi Karadzhov, James R. Glass:
Fact Checking in Community Forums. CoRR abs/1803.03178 (2018)
[i26]
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  - journals/corr/abs-1803-03786
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Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev:
We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind! CoRR abs/1803.03786 (2018)
[i25]
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Mitra Mohtarami, Ramy Baly, James R. Glass, Preslav Nakov, Lluís Màrquez, Alessandro Moschitti:
Automatic Stance Detection Using End-to-End Memory Networks. CoRR abs/1804.07581 (2018)
[i24]
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Israa Jaradat, Pepa Gencheva, Alberto Barrón-Cedeño, Lluís Màrquez, Preslav Nakov:
ClaimRank: Detecting Check-Worthy Claims in Arabic and English. CoRR abs/1804.07587 (2018)
[i23]
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Ramy Baly, Mitra Mohtarami, James R. Glass, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Integrating Stance Detection and Fact Checking in a Unified Corpus. CoRR abs/1804.08012 (2018)
[i22]
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Pepa Atanasova, Alberto Barrón-Cedeño, Tamer Elsayed, Reem Suwaileh, Wajdi Zaghouani, Spas Kyuchukov, Giovanni Da San Martino, Preslav Nakov:
Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness. CoRR abs/1808.05542 (2018)
[i21]
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
Towards Automated Customer Support. CoRR abs/1809.00303 (2018)
[i20]
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  - journals/corr/abs-1809-02255
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Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov:
Adversarial Domain Adaptation for Duplicate Question Detection. CoRR abs/1809.02255 (2018)
[i19]
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  - journals/corr/abs-1809-08928
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Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. CoRR abs/1809.08928 (2018)
[i18]
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  - journals/corr/abs-1810-01765
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Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov:
Predicting Factuality of Reporting and Bias of News Media Sources. CoRR abs/1810.01765 (2018)
2017
[j12]
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Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Discourse Structure in Machine Translation Evaluation. Comput. Linguistics 43(4) (2017)
[j11]
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  - journals/csl/GuzmanJMN17
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Machine translation evaluation with neural networks. Comput. Speech Lang. 45: 180-200 (2017)
[c115]
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  - conf/asru/AliN0R17
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Ahmed Ali, Preslav Nakov, Peter Bell, Steve Renals:
WERD: Using social text spelling variants for evaluating dialectal speech recognition. ASRU 2017: 141-148
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Georgi Karadzhov, Tsvetomila Mihaylova, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation - (Best of the Labs Track at CLEF-2017). CLEF 2017: 173-185
[c113]
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Shafiq R. Joty, Preslav Nakov, Lluís Màrquez, Israa Jaradat:
Cross-language Learning with Adversarial Neural Networks. CoNLL 2017: 226-237
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  - conf/discomt/LoaicigaSNHTCV17
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Sharid Loáiciga, Sara Stymne, Preslav Nakov, Christian Hardmeier, Jörg Tiedemann, Mauro Cettolo, Yannick Versley:
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction. DiscoMT@EMNLP 2017: 1-16
[c111]
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  - conf/ranlp/BoyanovNMMK17
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Martin Boyanov, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino, Ivan Koychev:
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. RANLP 2017: 121-129
[c110]
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Pepa Gencheva, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Ivan Koychev:
A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates. RANLP 2017: 267-276
[c109]
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Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev:
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind! RANLP 2017: 334-343
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Georgi Karadzhov, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Ivan Koychev:
Fully Automated Fact Checking Using External Sources. RANLP 2017: 344-353
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Preslav Nakov, Stephan Vogel:
Robust Tuning Datasets for Statistical Machine Translation. RANLP 2017: 543-550
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Preslav Nakov, Tsvetomila Mihaylova, Lluís Màrquez, Yashkumar Shiroya, Ivan Koychev:
Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums. RANLP 2017: 551-560
[c105]
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Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor:
SemEval-2017 Task 3: Community Question Answering. SemEval@ACL 2017: 27-48
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Sara Rosenthal, Noura Farra, Preslav Nakov:
SemEval-2017 Task 4: Sentiment Analysis in Twitter. SemEval@ACL 2017: 502-518
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Giovanni Da San Martino, Salvatore Romeo, Alberto Barrón-Cedeño, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Cross-Language Question Re-Ranking. SIGIR 2017: 1145-1148
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Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov:
Large-Scale Goodness Polarity Lexicons for Community Question Answering. SIGIR 2017: 1185-1188
[c101]
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Kareem Darwish, Dimitar Alexandrov, Preslav Nakov, Yelena Mejova:
Seminar Users in the Arabic Twitter Sphere. SocInfo (1) 2017: 91-108
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Marcos Zampieri, Shervin Malmasi, Nikola Ljubesic, Preslav Nakov, Ahmed Ali, Jörg Tiedemann, Yves Scherrer, Noëmi Aepli:
Findings of the VarDial Evaluation Campaign 2017. VarDial 2017: 1-15
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Chao-Hong Liu, Preslav Nakov, Nianwen Xue:
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27 - December 1, 2017, Shared Tasks. Asian Federation of Natural Language Processing 2017, ISBN 978-1-948087-03-2 [contents]
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Preslav Nakov, Marcos Zampieri, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi, Ahmed Ali:
Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial 2017, Valencia, Spain, April 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-43-2 [contents]
[i17]
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Shafiq R. Joty, Preslav Nakov, Lluís Màrquez, Israa Jaradat:
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering. CoRR abs/1706.06749 (2017)
[i16]
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Georgi Karadjov, Tsvetomila Mihaylova, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
The Case for Being Average: A Mediocrity Approach to Style Masking and Author Obfuscation. CoRR abs/1707.03736 (2017)
[i15]
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Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov:
Large-Scale Goodness Polarity Lexicons for Community Question Answering. CoRR abs/1707.06378 (2017)
[i14]
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Kareem Darwish, Dimitar Alexandrov, Preslav Nakov, Yelena Mejova:
Seminar Users in the Arabic Twitter Sphere. CoRR abs/1707.07276 (2017)
[i13]
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Ahmed M. Ali, Preslav Nakov, Peter Bell, Steve Renals:
WERd: Using Social Text Spelling Variants for Evaluating Dialectal Speech Recognition. CoRR abs/1709.07484 (2017)
[i12]
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Georgi Karadzhov, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Ivan Koychev:
Fully Automated Fact Checking Using External Sources. CoRR abs/1710.00341 (2017)
[i11]
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Preslav Nakov, Stephan Vogel:
Robust Tuning Datasets for Statistical Machine Translation. CoRR abs/1710.00346 (2017)
[i10]
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Martin Boyanov, Ivan Koychev, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino:
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. CoRR abs/1710.00689 (2017)
[i9]
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Giovanni Da San Martino, Salvatore Romeo, Alberto Barrón-Cedeño, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Cross-Language Question Re-Ranking. CoRR abs/1710.01487 (2017)
[i8]
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  - journals/corr/abs-1710-01492
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Preslav Nakov:
Semantic Sentiment Analysis of Twitter Data. CoRR abs/1710.01492 (2017)
[i7]
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Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Discourse Structure in Machine Translation Evaluation. CoRR abs/1710.01504 (2017)
[i6]
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation with Neural Networks. CoRR abs/1710.02095 (2017)
[i5]
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  - journals/corr/abs-1712-08350
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Valentin Zmiycharov, Dimitar Alexandrov, Preslav Nakov, Ivan Koychev, Yasen Kiprov:
Finding People's Professions and Nationalities Using Distant Supervision - The FMI@SU "goosefoot" team at the WSDM Cup 2017 Triple Scoring Task. CoRR abs/1712.08350 (2017)
2016
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Pidong Wang, Preslav Nakov, Hwee Tou Ng:
Source Language Adaptation Approaches for Resource-Poor Machine Translation. Comput. Linguistics 42(2): 277-306 (2016)
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Preslav Nakov, Torsten Zesch:
Computational semantic analysis of language: SemEval-2014 and beyond. Lang. Resour. Evaluation 50(1): 1-4 (2016)
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Preslav Nakov, Sara Rosenthal, Svetlana Kiritchenko, Saif M. Mohammad, Zornitsa Kozareva, Alan Ritter, Veselin Stoyanov, Xiaodan Zhu:
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Evaluation 50(1): 35-65 (2016)
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Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
Machine Translation Evaluation Meets Community Question Answering. ACL (2) 2016
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Todor Mihaylov, Preslav Nakov:
Hunting for Troll Comments in News Community Forums. ACL (2) 2016
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Momchil Hardalov, Ivan Koychev, Preslav Nakov:
In Search of Credible News. AIMSA 2016: 172-180
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  - conf/cicling/MuslehDTNVA16
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Ahmad Musleh, Nadir Durrani, Irina P. Temnikova, Preslav Nakov, Stephan Vogel, Osama Alsaad:
Enabling Medical Translation for Low-Resource Languages. CICLing (2) 2016: 3-16
[c95]
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Fahad Al-Obaidli, Stephen Cox, Preslav Nakov:
Bi-text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation. CICLing (2) 2016: 127-139
[c94]
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Pepa Gencheva, Martin Boyanov, Elena Deneva, Preslav Nakov, Georgi Georgiev, Yasen Kiprov, Ivan Koychev:
PANcakes Team: A Composite System of Domain-Agnostic Features For Author Profiling. CLEF (Working Notes) 2016: 874-880
[c93]
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Tsvetomila Mihaylova, Georgi Karadjov, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
SU@PAN'2016: Author Obfuscation. CLEF (Working Notes) 2016: 956-969
[c92]
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Valentin Zmiycharov, Dimitar Alexandrov, Hristo Georgiev, Yasen Kiprov, Georgi Georgiev, Ivan Koychev, Preslav Nakov:
Experiments in Authorship-Link Ranking and Complete Author Clustering. CLEF (Working Notes) 2016: 1018-1023
[c91]
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Enamul Hoque, Shafiq R. Joty, Lluís Màrquez, Alberto Barrón-Cedeño, Giovanni Da San Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini:
An Interactive System for Exploring Community Question Answering Forums. COLING (Demos) 2016: 1-5
[c90]
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Dame Jovanoski, Veno Pachovski, Preslav Nakov:
On the Impact of Seed Words on Sentiment Polarity Lexicon Induction. COLING 2016: 1557-1567
[c89]
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Preslav Nakov, Lluís Màrquez, Francisco Guzmán:
It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. EMNLP 2016: 1586-1597
[c88]
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Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Learning with Global Inference for Comment Classification in Community Question Answering. HLT-NAACL 2016: 703-713
[c87]
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  - conf/semeval/NakovRRSS16
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Preslav Nakov, Alan Ritter, Sara Rosenthal, Fabrizio Sebastiani, Veselin Stoyanov:
SemEval-2016 Task 4: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2016: 1-18
[c86]
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Preslav Nakov, Lluís Màrquez, Alessandro Moschitti, Walid Magdy, Hamdy Mubarak, Abed Alhakim Freihat, James R. Glass, Bilal Randeree:
SemEval-2016 Task 3: Community Question Answering. SemEval@NAACL-HLT 2016: 525-545
[c85]
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Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova:
SUper Team at SemEval-2016 Task 3: Building a Feature-Rich System for Community Question Answering. SemEval@NAACL-HLT 2016: 836-843
[c84]
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Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov:
PMI-cool at SemEval-2016 Task 3: Experiments with PMI and Goodness Polarity Lexicons for Community Question Answering. SemEval@NAACL-HLT 2016: 844-850
[c83]
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Todor Mihaylov, Preslav Nakov:
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings. SemEval@NAACL-HLT 2016: 879-886
[c82]
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Francisco Guzmán, Preslav Nakov, Lluís Màrquez:
MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? SemEval@NAACL-HLT 2016: 887-895
[c81]
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Alessandro Moschitti, Lluís Màrquez, Preslav Nakov, Eugene Agichtein, Charles L. A. Clarke, Idan Szpektor:
SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids. SIGIR 2016: 1251-1252
[c80]
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Shervin Malmasi, Marcos Zampieri, Nikola Ljubesic, Preslav Nakov, Ahmed Ali, Jörg Tiedemann:
Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task. VarDial@COLING 2016: 1-14
[c79]
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Preslav Nakov:
Sentiment Analysis in Twitter: A SemEval Perspective. WASSA@NAACL-HLT 2016: 171-172
[c78]
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Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie L. Webber, Andrei Popescu-Belis:
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. WMT 2016: 525-542
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Valia Kordoni, Kostadin Cholakov, Markus Egg, Stella Markantonatou, Preslav Nakov:
Proceedings of the 12th Workshop on Multiword Expressions, MWE@ACL 2016, Berlin, Germany, August 11, 2016. The Association for Computer Linguistics 2016 [contents]
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Steven Bethard, Daniel M. Cer, Marine Carpuat, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016, San Diego, CA, USA, June 16-17, 2016. The Association for Computer Linguistics 2016, ISBN 978-1-941643-95-2 [contents]
[e8]
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Preslav Nakov, Marcos Zampieri, Liling Tan, Nikola Ljubesic, Jörg Tiedemann, Shervin Malmasi:
Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects, VarDial@COLING 2016, Osaka, Japan, December 12, 2016. The COLING 2016 Organizing Committee 2016, ISBN 978-4-87974-716-7 [contents]
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Hassan Sajjad, Nadir Durrani, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Stephan Vogel, Wael Salloum, Ahmed El Kholy, Nizar Habash:
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015. CoRR abs/1606.05759 (2016)
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Fahad Al-Obaidli, Stephen Cox, Preslav Nakov:
Bi-Text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation. CoRR abs/1609.01188 (2016)
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Ahmad Musleh, Nadir Durrani, Irina P. Temnikova, Preslav Nakov, Stephan Vogel, Osama Alsaad:
Enabling Medical Translation for Low-Resource Languages. CoRR abs/1610.02633 (2016)
2015
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Alberto Barrón-Cedeño, Simone Filice, Giovanni Da San Martino, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov, Alessandro Moschitti:
Thread-Level Information for Comment Classification in Community Question Answering. ACL (2) 2015: 687-693
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Pairwise Neural Machine Translation Evaluation. ACL (1) 2015: 805-814
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Yasen Kiprov, Momchil Hardalov, Preslav Nakov, Ivan Koychev:
SU@PAN'2015: Experiments in Author Profiling. CLEF (Working Notes) 2015
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Stanimir Nikolov, Dobrinka Tabakova, Stefan Savov, Yasen Kiprov, Preslav Nakov:
SU@PAN'2015: Experiments in Author Verification. CLEF (Working Notes) 2015
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Francisco Guzmán, Preslav Nakov, Stephan Vogel:
Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. CoNLL 2015: 62-72
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Todor Mihaylov, Georgi Georgiev, Preslav Nakov:
Finding Opinion Manipulation Trolls in News Community Forums. CoNLL 2015: 310-314
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Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo:
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation. DiscoMT@EMNLP 2015: 1-16
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Shafiq R. Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov:
Global Thread-level Inference for Comment Classification in Community Question Answering. EMNLP 2015: 573-578
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Dame Jovanoski, Veno Pachovski, Preslav Nakov:
Sentiment Analysis in Twitter for Macedonian. RANLP 2015: 249-257
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Borislav Kapukaranov, Preslav Nakov:
Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian. RANLP 2015: 266-274
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Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov:
Exposing Paid Opinion Manipulation Trolls. RANLP 2015: 443-450
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Massimo Nicosia, Simone Filice, Alberto Barrón-Cedeño, Iman Saleh, Hamdy Mubarak, Wei Gao, Preslav Nakov, Giovanni Da San Martino, Alessandro Moschitti, Kareem Darwish, Lluís Màrquez, Shafiq R. Joty, Walid Magdy:
QCRI: Answer Selection for Community Question Answering - Experiments for Arabic and English. SemEval@NAACL-HLT 2015: 203-209
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Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, James R. Glass, Bilal Randeree:
SemEval-2015 Task 3: Answer Selection in Community Question Answering. SemEval@NAACL-HLT 2015: 269-281
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Sara Rosenthal, Preslav Nakov, Svetlana Kiritchenko, Saif M. Mohammad, Alan Ritter, Veselin Stoyanov:
SemEval-2015 Task 10: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2015: 451-463
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Daniel M. Cer, David Jurgens, Preslav Nakov, Torsten Zesch:
Proceedings of the 9th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2015, Denver, Colorado, USA, June 4-5, 2015. The Association for Computer Linguistics 2015, ISBN 978-1-941643-40-2 [contents]
2014
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Using Discourse Structure Improves Machine Translation Evaluation. ACL (1) 2014: 687-698
[c62]
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Iman Saleh, Scott Cyphers, James R. Glass, Shafiq R. Joty, Lluís Màrquez i Villodre, Alessandro Moschitti, Preslav Nakov:
A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling. COLING 2014: 193-202
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Francisco Guzmán, Shafiq R. Joty, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov, Massimo Nicosia:
Learning to Differentiate Better from Worse Translations. EMNLP 2014: 214-220
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Iman Saleh, Alessandro Moschitti, Preslav Nakov, Lluís Màrquez, Shafiq R. Joty:
Semantic Kernels for Semantic Parsing. EMNLP 2014: 436-442
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A. Seza Dogruöz, Preslav Nakov:
Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions. EMNLP 2014: 1391-1395
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Preslav Nakov:
Web as a Corpus: Going Beyond the n-gram. RuSSIR 2014: 185-228
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Sara Rosenthal, Alan Ritter, Preslav Nakov, Veselin Stoyanov:
SemEval-2014 Task 9: Sentiment Analysis in Twitter. SemEval@COLING 2014: 73-80
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Boris Velichkov, Borislav Kapukaranov, Ivan Grozev, Jeni Karanesheva, Todor Mihaylov, Yasen Kiprov, Preslav Nakov, Ivan Koychev, Georgi Georgiev:
SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter. SemEval@COLING 2014: 590-595
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Kamla Al-Mannai, Hassan Sajjad, Alaa Khader, Fahad Al-Obaidli, Preslav Nakov, Stephan Vogel:
Unsupervised Word Segmentation Improves Dialectal Arabic to English Machine Translation. ANLP@EMNLP 2014: 207-216
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Shafiq R. Joty, Francisco Guzmán, Lluís Màrquez, Preslav Nakov:
DiscoTK: Using Discourse Structure for Machine Translation Evaluation. WMT@ACL 2014: 402-408
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Preslav Nakov, Torsten Zesch:
Proceedings of the 8th International Workshop on Semantic Evaluation, SemEval@COLING 2014, Dublin, Ireland, August 23-24, 2014. The Association for Computer Linguistics 2014, ISBN 978-1-941643-24-2 [contents]
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Preslav Ivanov Nakov, Hwee Tou Ng:
Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages. CoRR abs/1401.6876 (2014)
2013
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Vivi Nastase, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz:
Semantic Relations Between Nominals. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2013, ISBN 9781608459797, pp. 1-119
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Stan Szpakowicz, Francis Bond, Preslav Nakov, Su Nam Kim:
On the semantics of noun compounds. Nat. Lang. Eng. 19(3): 289-290 (2013)
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Preslav Nakov:
On the interpretation of noun compounds: Syntax, semantics, and entailment. Nat. Lang. Eng. 19(3): 291-330 (2013)
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Preslav Nakov, Marti A. Hearst:
Semantic interpretation of noun compounds using verbal and other paraphrases. ACM Trans. Speech Lang. Process. 10(3): 13:1-13:51 (2013)
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Preslav Nakov, Francisco Guzmán, Stephan Vogel:
A Tale about PRO and Monsters. ACL (2) 2013: 12-17
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Kostadin Georgiev, Preslav Nakov:
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines. ICML (3) 2013: 1148-1156
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Hassan Sajjad, Francisco Guzmán, Preslav Nakov, Ahmed Abdelali, Kenton Murray, Fahad Al-Obaidli, Stephan Vogel:
QCRI at IWSLT 2013: experiments in Arabic-English and English-Arabic spoken language translation. IWSLT (Evaluation Campaign) 2013
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Preslav Nakov, Fahad Al-Obaidli, Francisco Guzmán, Stephan Vogel:
Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples. RANLP 2013: 504-510
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Jörg Tiedemann, Preslav Nakov:
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. RANLP 2013: 676-684
[c48]
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Iris Hendrickx, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale:
SemEval-2013 Task 4: Free Paraphrases of Noun Compounds. SemEval@NAACL-HLT 2013: 138-143
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Preslav Nakov, Sara Rosenthal, Zornitsa Kozareva, Veselin Stoyanov, Alan Ritter, Theresa Wilson:
SemEval-2013 Task 2: Sentiment Analysis in Twitter. SemEval@NAACL-HLT 2013: 312-320
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Diana Maynard, Marieke van Erp, Brian Davis, Petya Osenova, Kiril Ivanov Simov, Georgi Georgiev, Preslav Nakov:
Proceedings of the Joint Workshop on NLP&LOD and SWAIE: Semantic Web, Linked Open Data and Information Extraction@RANLP 2013, Hissar, Bulgaria, September 12, 2013. INCOMA Ltd. Shoumen, BULGARIA 2013, ISBN 978-954-452-025-0 [contents]
2012
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Anna Divoli, Preslav Nakov, Marti A. Hearst:
Do Peers See More in a Paper Than Its Authors? Adv. Bioinformatics 2012: 750214:1-750214:15 (2012)
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Preslav Nakov, Hwee Tou Ng:
Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages. J. Artif. Intell. Res. 44: 179-222 (2012)
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Preslav Nakov, Jörg Tiedemann:
Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages. ACL (2) 2012: 301-305
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Preslav Nakov, Francisco Guzmán, Stephan Vogel:
Optimizing for Sentence-Level BLEU+1 Yields Short Translations. COLING 2012: 1979-1994
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Georgi Georgiev, Valentin Zhikov, Kiril Ivanov Simov, Petya Osenova, Preslav Nakov:
Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian. EACL 2012: 492-502
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Pidong Wang, Preslav Nakov, Hwee Tou Ng:
Source Language Adaptation for Resource-Poor Machine Translation. EMNLP-CoNLL 2012: 286-296
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Francisco Guzmán, Preslav Nakov, Ahmed Thabet, Stephan Vogel:
QCRI at WMT12: Experiments in Spanish-English and German-English Machine Translation of News Text. WMT@NAACL-HLT 2012: 298-303
2011
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Preslav Nakov, Hwee Tou Ng:
Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. ACL 2011: 1298-1307
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Su Nam Kim, Preslav Nakov:
Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus. EMNLP 2011: 648-658
[c39]
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Preslav Nakov, Zornitsa Kozareva:
Combining Relational and Attributional Similarity for Semantic Relation Classification. RANLP 2011: 323-330
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Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Stan Szpakowicz:
Proceedings of the ACL 2011 Workshop on Relational Models of Semantics, RELMS@ACL 2011, Portland, Oregon, USA, June 23, 2011. Association for Computational Linguistics 2011, ISBN 978-1-932432-98-5 [contents]
2010
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Minh-Thang Luong, Preslav Nakov, Min-Yen Kan:
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. EMNLP 2010: 148-157
[c37]
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Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz:
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals. SemEval@ACL 2010: 33-38
[c36]
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Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale:
SemEval-2 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions. SemEval@ACL 2010: 39-44
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Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov:
Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6458, Springer 2010, ISBN 978-3-642-17186-4 [contents]
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Éric Laporte, Preslav Nakov, Carlos Ramisch, Aline Villavicencio:
Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to Applications, MWE@COLING 2010, Beijing, China, August 28, 2010. Coling 2010 Organizing Committee 2010 [contents]

2000 – 2009

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2009
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Roxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter D. Turney, Deniz Yuret:
Classification of semantic relations between nominals. Lang. Resour. Evaluation 43(2): 105-121 (2009)
[c35]
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Georgi Georgiev, Kuzman Ganchev, Vassil Momtchev, Deyan Peychev, Preslav Nakov, Angus Roberts:
Tunable Domain-Independent Event Extraction in the MIRA Framework. BioNLP@HLT-NAACL (Shared Task) 2009: 95-98
[c34]
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Preslav Nakov, Hwee Tou Ng:
Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages. EMNLP 2009: 1358-1367
[c33]
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Preslav Nakov, Chang Liu, Wei Lu, Hwee Tou Ng:
The NUS statistical machine translation system for IWSLT 2009. IWSLT 2009: 91-98
[c32]
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Preslav Nakov, Chang Liu, Wei Lu, Hwee Tou Ng:
The NUS statistical machine translation system for IWSLT 2009. IWSLT (Evaluation Campaign) 2009
[c31]
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Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Ó Séaghdha, Sebastian Padó, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz:
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. SEW@NAACL-HLT 2009: 94-99
[c30]
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Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Ó Séaghdha, Stan Szpakowicz, Tony Veale:
SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions. SEW@NAACL-HLT 2009: 100-105
[c29]
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  - conf/ranlp/GeorgievNGPM09
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Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Deyan Peychev, Vassil Momtchev:
A Joint Model for Normalizing Gene and Organism Mentions in Text. BiomedicalIE@RANLP 2009: 14-20
[c28]
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Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. RANLP 2009: 113-117
[c27]
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Svetlin Nakov, Preslav Nakov, Elena Paskaleva:
Unsupervised Extraction of False Friends from Parallel Bi-Texts Using the Web as a Corpus. RANLP 2009: 292-298
[c26]
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Veselin Raychev, Preslav Nakov:
Language-Independent Sentiment Analysis Using Subjectivity and Positional Information. RANLP 2009: 360-364
[c25]
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Preslav Nakov, Hwee Tou Ng:
NUS at WMT09: Domain Adaptation Experiments for English-Spanish Machine Translation of News Commentary Text. WMT@EACL 2009: 75-79
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Dimitra Anastasiou, Chikara Hashimoto, Preslav Nakov, Su Nam Kim:
Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, MWE@IJCNLP 2009, Singapore, August 6, 2009. Association for Computational Linguistics 2009, ISBN 978-1-932432-60-2 [contents]
2008
[c24]
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Preslav Nakov, Marti A. Hearst:
Solving Relational Similarity Problems Using the Web as a Corpus. ACL 2008: 452-460
[c23]
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Preslav Nakov:
Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study. AIMSA 2008: 103-117
[c22]
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Preslav Nakov:
Improved Statistical Machine Translation Using Monolingual Paraphrases. ECAI 2008: 338-342
[c21]
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Preslav Nakov:
Improving English-Spanish Statistical Machine Translation: Experiments in Domain Adaptation, Sentence Paraphrasing, Tokenization, and Recasing. WMT@ACL 2008: 147-150
2007
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Marti A. Hearst, Anna Divoli, Harendra Guturu, Alex Ksikes, Preslav Nakov, Michael A. Wooldridge, Jerry Ye:
BioText Search Engine: beyond abstract search. Bioinform. 23(16): 2196-2197 (2007)
[c20]
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Roxana Girju, Preslav Nakov, Vivi Nastase, Stan Szpakowicz, Peter D. Turney, Deniz Yuret:
SemEval-2007 Task 04: Classification of Semantic Relations between Nominals. SemEval@ACL 2007: 13-18
[c19]
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Preslav Nakov, Marti A. Hearst:
UCB: System Description for SemEval Task #4. SemEval@ACL 2007: 366-369
[c18]
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Preslav Nakov, Marti A. Hearst:
UCB System Description for the WMT 2007 Shared Task. WMT@ACL 2007: 212-215
2006
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Preslav Nakov, Marti A. Hearst:
Using Verbs to Characterize Noun-Noun Relations. AIMSA 2006: 233-244
[c16]
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Anna Divoli, Marti A. Hearst, Preslav Nakov, Ariel S. Schwartz:
BioText Team Report for the TREC 2006 Genomics Track. TREC 2006
2005
[c15]
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Preslav Nakov, Ariel S. Schwartz, Brian Wolf, Marti A. Hearst:
Supporting Annotation Layers for Natural Language Processing. ACL 2005: 65-68
[c14]
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Preslav Nakov, Marti A. Hearst:
Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing. CoNLL 2005: 17-24
[c13]
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Preslav Nakov, Marti A. Hearst:
Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution. HLT/EMNLP 2005: 835-842
2004
[c12]
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Preslav Nakov, Ariel S. Schwartz, Emilia Stoica, Marti A. Hearst:
BioText Team Experiments for the TREC 2004 Genomics Track. TREC 2004
2003
[c11]
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Preslav Nakov:
Building an inflectional stemmer for Bulgarian. CompSysTech 2003: 419-424
[c10]
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Panayot Dobrikov, Preslav Nakov:
The architecture of corporate information and news engine. CompSysTech 2003: 425-430
[c9]
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Preslav Nakov, Marti A. Hearst:
Category-based Pseudowords. HLT-NAACL 2003
[c8]
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Preslav Nakov, Elena Valchanova, Galia Angelova:
Towards deeper understanding of the latent semantic analysis performance. RANLP 2003: 297-306
[c7]
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Preslav Nakov, Yury Bonev, Galia Angelova, Evelyn Gius, Walther von Hahn:
Guessing morphological classes of unknown German nouns. RANLP 2003: 347-356
[c6]
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Gaurav Bhalotia, Preslav Nakov, Ariel S. Schwartz, Marti A. Hearst:
BioText Team Report for the TREC 2003 Genomics Track. TREC 2003: 612-621
2002
[c5]
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  - conf/ecai/AngelovaBKTNS02
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Galia Angelova, Svetla Boytcheva, Ognian Kalaydjiev, Stefan Trausan-Matu, Preslav Nakov, Albena Strupchanska:
Adaptivity in Web-Based CALL. ECAI 2002: 445-449
[c4]
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Preslav Nakov:
MorphoClass - Recognition and Morphological Classification of Unknown Words for German. SAAKM@ECAI 2002
2001
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Preslav Nakov:
Latent Semantic Analysis for German Literature Investigation. Fuzzy Days 2001: 834-841
2000
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Preslav Nakov:
Web Personalization Using Extended Boolean Operations with Latent Semantic Indexing. AIMSA 2000: 189-198
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Preslav Nakov:
Latent semantic analysis of textual data. CompSysTech 2000: 5031-5035

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