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2020 – today
- 2024
[j7]Saar Kuzi, Shervin Malmasi:
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-Commerce. SIGIR Forum 58(1): 1-10 (2024)- [c85]Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi:
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. ACL (1) 2024: 5396-5420 - [c84]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. LREC/COLING 2024: 6017-6023 - [c83]Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. ECIR (4) 2024: 59-67 - [c82]Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. ECIR (2) 2024: 415-432 - [c81]Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi:
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. NAACL (Industry Track) 2024: 437-446 - [c80]Dhiman Goswami, Sharanya Thilagan, Kai North, Shervin Malmasi, Marcos Zampieri:
Native Language Identification in Texts: A Survey. NAACL-HLT 2024: 3149-3160 - [c79]Nikhita Vedula
, Oleg Rokhlenko, Shervin Malmasi:
Question Suggestion for Conversational Shopping Assistants Using Product Metadata. SIGIR 2024: 2960-2964 - [c78]Alexandre Salle, Shervin Malmasi:
Multilingual and Code-Switched Sentence Ordering. *SEM@NAACL 2024: 308-313 - [i37]Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. CoRR abs/2401.09775 (2024) - [i36]Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation. CoRR abs/2401.09785 (2024) - [i35]Parth Patwa, Simone Filice, Zhiyu Chen, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data. CoRR abs/2404.02422 (2024) - [i34]Besnik Fetahu, Nachshon Cohen, Elad Haramaty, Liane Lewin-Eytan, Oleg Rokhlenko, Shervin Malmasi:
Identifying Shopping Intent in Product QA for Proactive Recommendations. CoRR abs/2404.06017 (2024) - [i33]Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi:
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. CoRR abs/2404.06659 (2024) - [i32]Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Question Suggestion for Conversational Shopping Assistants Using Product Metadata. CoRR abs/2405.01738 (2024) - [i31]Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi:
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers. CoRR abs/2406.05255 (2024) - [i30]Saar Kuzi, Shervin Malmasi:
Bridging the Gap Between Information Seeking and Product Search Systems: Q&A Recommendation for E-commerce. CoRR abs/2407.09653 (2024) - 2023
- [c77]Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. ACL (industry) 2023: 729-743 - [c76]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. ACL (industry) 2023: 763-771 - [c75]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. ACL (1) 2023: 2847-2867 - [c74]Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Follow-on Question Suggestion via Voice Hints for Voice Assistants. EMNLP (Findings) 2023: 310-325 - [c73]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. EMNLP (Industry Track) 2023: 663-674 - [c72]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. EMNLP (Findings) 2023: 2027-2051 - [c71]Alexandre Salle, Shervin Malmasi:
A Simple Loss Function for Convergent Algorithm Synthesis using RNNs. Tiny Papers @ ICLR 2023 - [c70]Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. INTERSPEECH 2023: 3427-3431 - [c69]Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi:
The 6th Workshop on e-eommerce and NLP (ECNLP 6). KDD 2023: 5872-5873 - [c68]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). SemEval@ACL 2023: 2247-2265 - [c67]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
eCom'23: The SIGIR 2023 Workshop on eCommerce. SIGIR 2023: 3476-3478 - [e6]Surya Kallumadi, Yubin Kim, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), Taipei, Taiwan, July 27, 2023. CEUR Workshop Proceedings 3589, CEUR-WS.org 2023 [contents] - [i29]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. CoRR abs/2302.11074 (2023) - [i28]Besnik Fetahu, Sudipta Kar, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2). CoRR abs/2305.06586 (2023) - [i27]Zhuoer Wang, Marcus D. Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Faithful Low-Resource Data-to-Text Generation through Cycle Training. CoRR abs/2305.14793 (2023) - [i26]Pedro Faustini, Zhiyu Chen, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Answering Unanswered Questions through Semantic Reformulations in Spoken QA. CoRR abs/2305.17393 (2023) - [i25]Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search. CoRR abs/2306.03411 (2023) - [i24]Besnik Fetahu, Zhiyu Chen, Sudipta Kar, Oleg Rokhlenko, Shervin Malmasi:
MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition. CoRR abs/2310.13213 (2023) - [i23]Besnik Fetahu, Zhiyu Chen, Oleg Rokhlenko, Shervin Malmasi:
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization. CoRR abs/2310.16361 (2023) - [i22]Besnik Fetahu, Pedro Faustini, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Follow-on Question Suggestion via Voice Hints for Voice Assistants. CoRR abs/2310.17034 (2023) - 2022
- [j6]Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein:
CoSearcher: studying the effectiveness of conversational search refinement and clarification through user simulation. Inf. Retr. J. 25(2): 209-238 (2022) - [c66]Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus D. Collins, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein:
Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings. COLING 2022: 3514-3529 - [c65]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. COLING 2022: 3798-3809 - [c64]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. EMNLP (Industry Track) 2022: 357-370 - [c63]Besnik Fetahu, Akash Veeragouni, Oleg Rokhlenko, Shervin Malmasi:
Distilling Multilingual Transformers into CNNs for Scalable Intent Classification. EMNLP (Industry Track) 2022: 429-439 - [c62]Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi:
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. EMNLP 2022: 11875-11886 - [c61]Sudipta Kar, Giuseppe Castellucci, Simone Filice, Shervin Malmasi, Oleg Rokhlenko:
Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks. KDD 2022: 3137-3145 - [c60]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. NAACL-HLT 2022: 2777-2790 - [c59]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). SemEval@NAACL 2022: 1412-1437 - [c58]Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue:
eCom'22: The SIGIR 2022 Workshop on eCommerce. SIGIR 2022: 3485-3487 - [c57]Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
CycleNER: An Unsupervised Training Approach for Named Entity Recognition. WWW 2022: 2916-2924 - [i21]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition. CoRR abs/2208.14536 (2022) - [i20]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. CoRR abs/2210.15777 (2022) - 2021
- [c56]Alexandre Salle, Shervin Malmasi, Oleg Rokhlenko, Eugene Agichtein:
Studying the Effectiveness of Conversational Search Refinement Through User Simulation. ECIR (1) 2021: 587-602 - [c55]Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. NAACL-HLT 2021: 1499-1512 - [c54]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. SIGIR 2021: 1677-1681 - [c53]Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke:
ECOM'21: The SIGIR 2021 Workshop on eCommerce. SIGIR 2021: 2685-2688 - 2020
- [c52]Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, Marcos Zampieri:
Evaluating Aggression Identification in Social Media. TRAC@LREC 2020: 1-5 - [c51]Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi:
ECOM'20: The SIGIR 2020 Workshop on eCommerce. SIGIR 2020: 2459-2460 - [c50]Eugene Agichtein, Dilek Hakkani-Tür, Surya Kallumadi, Shervin Malmasi:
ConvERSe'20: The WSDM 2020 Workshop on Conversational Systems for E-Commerce Recommendations and Search. WSDM 2020: 897-898 - [e5]Ritesh Kumar, Atul Kr. Ojha, Bornini Lahiri, Marcos Zampieri, Shervin Malmasi, Vanessa Murdock, Daniel Kadar:
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, TRAC@LREC 2020, Marseille, France, May 2020. European Language Resources Association (ELRA) 2020, ISBN 979-10-95546-56-6 [contents]
2010 – 2019
- 2019
- [j5]Shervin Malmasi, Wendong Ge, Naoshi Hosomura, Alexander Turchin:
Comparing information extraction techniques for low-prevalence concepts: The case of insulin rejection by patients. J. Biomed. Informatics 99 (2019) - [c49]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 - [c48]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 - [c47]Gustavo Henrique Paetzold, Marcos Zampieri, Shervin Malmasi:
UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks. SemEval@NAACL-HLT 2019: 519-523 - [c46]Loïc Barrault, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, Marcos Zampieri:
Findings of the 2019 Conference on Machine Translation (WMT19). WMT (2) 2019: 1-61 - [i19]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) - [i18]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) - [i17]Gustavo Henrique Paetzold, Shervin Malmasi, Marcos Zampieri:
UTFPR at SemEval-2019 Task 5: Hate Speech Identification with Recurrent Neural Networks. CoRR abs/1904.07839 (2019) - 2018
- [j4]Shervin Malmasi, Mark Dras:
Native Language Identification With Classifier Stacking and Ensembles. Comput. Linguistics 44(3) (2018) - [j3]Shervin Malmasi, Marcos Zampieri:
Challenges in discriminating profanity from hate speech. J. Exp. Theor. Artif. Intell. 30(2): 187-202 (2018) - [c45]Fernando Benites, Shervin Malmasi, Marcos Zampieri:
Classifying Patent Applications with Ensemble Methods. ALTA 2018: 89-92 - [c44]Shervin Malmasi, Alexander Turchin:
Canary: an Information Extraction Platform for Researchers and Clinicians. AMIA 2018 - [c43]Seid Muhie Yimam, Chris Biemann, Shervin Malmasi, Gustavo Paetzold, Lucia Specia, Sanja Stajner, Anaïs Tack, Marcos Zampieri:
A Report on the Complex Word Identification Shared Task 2018. BEA@NAACL-HLT 2018: 66-78 - [c42]Iria del Río Gayo, Marcos Zampieri, Shervin Malmasi:
A Portuguese Native Language Identification Dataset. BEA@NAACL-HLT 2018: 291-296 - [c41]Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, Marcos Zampieri:
Benchmarking Aggression Identification in Social Media. TRAC@COLING 2018 2018: 1-11 - [c40]Shervin Malmasi, Iria del Río, Marcos Zampieri:
Portuguese Native Language Identification. PROPOR 2018: 115-124 - [c39]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 - [c38]Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Santanu Pal, Liviu P. Dinu:
Discriminating between Indo-Aryan Languages Using SVM Ensembles. VarDial@COLING 2018 2018: 178-184 - [c37]Alina Maria Ciobanu, Shervin Malmasi, Liviu P. Dinu:
German Dialect Identification Using Classifier Ensembles. VarDial@COLING 2018 2018: 288-294 - [e4]Ritesh Kumar, Atul Kr. Ojha, Marcos Zampieri, Shervin Malmasi:
Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying, TRAC@COLING 2018, Santa Fe, New Mexico, USA, August 25, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-60-5 [contents] - [e3]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] - [i16]Shervin Malmasi, Marcos Zampieri:
Challenges in Discriminating Profanity from Hate Speech. CoRR abs/1803.05495 (2018) - [i15]Seid Muhie Yimam, Chris Biemann, Shervin Malmasi, Gustavo H. Paetzold, Lucia Specia, Sanja Stajner, Anaïs Tack, Marcos Zampieri:
A Report on the Complex Word Identification Shared Task 2018. CoRR abs/1804.09132 (2018) - [i14]Iria del Río, Marcos Zampieri, Shervin Malmasi:
A Portuguese Native Language Identification Dataset. CoRR abs/1804.11346 (2018) - [i13]Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Santanu Pal, Liviu P. Dinu:
Discriminating between Indo-Aryan Languages Using SVM Ensembles. CoRR abs/1807.03108 (2018) - [i12]Alina Maria Ciobanu, Shervin Malmasi, Liviu P. Dinu:
German Dialect Identification Using Classifier Ensembles. CoRR abs/1807.08230 (2018) - [i11]Liviu P. Dinu, Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi:
Classifier Ensembles for Dialect and Language Variety Identification. CoRR abs/1808.04800 (2018) - [i10]Fernando Benites, Shervin Malmasi, Marcos Zampieri:
Classifying Patent Applications with Ensemble Methods. CoRR abs/1811.04695 (2018) - 2017
- [j2]Shervin Malmasi, Nicolae L. Sandor, Naoshi Hosomura, Matt Goldberg, Stephen Skentzos, Alexander Turchin:
Canary: An NLP Platform for Clinicians and Researchers. Appl. Clin. Inform. 08(02): 447-453 (2017) - [j1]Shervin Malmasi, Mark Dras:
Multilingual native language identification. Nat. Lang. Eng. 23(2): 163-215 (2017) - [c36]Shervin Malmasi, Mark Dras:
Feature Hashing for Language and Dialect Identification. ACL (2) 2017: 399-403 - [c35]Shervin Malmasi, Mark Dras, Mark Johnson, Lan Du, Magdalena Wolska:
Unsupervised Text Segmentation Based on Native Language Characteristics. ACL (1) 2017: 1457-1469 - [c34]Marcos Zampieri, Shervin Malmasi, Gustavo Paetzold, Lucia Specia:
Complex Word Identification: Challenges in Data Annotation and System Performance. NLP-TEA@IJCNLP 2017: 59-63 - [c33]Shervin Malmasi, Naoshi Hosomura, Lee-Shing Chang, C. J. Brown, Stephen Skentzos, Alexander Turchin:
Extracting Healthcare Quality Information from Unstructured Data. AMIA 2017 - [c32]Shervin Malmasi, Nicolae L. Sandor, Naoshi Hosomura, Matt Goldberg, Stephen Skentzos, Alexander Turchin:
Canary: An Information Extraction Platform for Clinical Researchers. AMIA 2017 - [c31]Shervin Malmasi, Keelan Evanini, Aoife Cahill, Joel R. Tetreault, Robert A. Pugh, Christopher Hamill, Diane Napolitano, Yao Qian:
A Report on the 2017 Native Language Identification Shared Task. BEA@EMNLP 2017: 62-75 - [c30]Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Liviu P. Dinu:
Including Dialects and Language Varieties in Author Profiling. CLEF (Working Notes) 2017 - [c29]Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith:
Exploring the Use of Text Classification in the Legal Domain. ASAIL@ICAIL 2017 - [c28]Shervin Malmasi, Marcos Zampieri:
Detecting Hate Speech in Social Media. RANLP 2017: 467-472 - [c27]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 - [c26]Shervin Malmasi, Marcos Zampieri:
German Dialect Identification in Interview Transcriptions. VarDial 2017: 164-169 - [c25]Shervin Malmasi, Marcos Zampieri:
Arabic Dialect Identification Using iVectors and ASR Transcripts. VarDial 2017: 178-183 - [e2]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] - [i9]Shervin Malmasi, Mark Dras:
Native Language Identification using Stacked Generalization. CoRR abs/1703.06541 (2017) - [i8]Alina Maria Ciobanu, Marcos Zampieri, Shervin Malmasi, Liviu P. Dinu:
Including Dialects and Language Varieties in Author Profiling. CoRR abs/1707.00621 (2017) - [i7]Shervin Malmasi:
Open-Set Language Identification. CoRR abs/1707.04817 (2017) - [i6]Marcos Zampieri, Shervin Malmasi, Gustavo Paetzold, Lucia Specia:
Complex Word Identification: Challenges in Data Annotation and System Performance. CoRR abs/1710.04989 (2017) - [i5]Octavia-Maria Sulea, Marcos Zampieri, Shervin Malmasi, Mihaela Vela, Liviu P. Dinu, Josef van Genabith:
Exploring the Use of Text Classification in the Legal Domain. CoRR abs/1710.09306 (2017) - [i4]Shervin Malmasi, Marcos Zampieri:
Detecting Hate Speech in Social Media. CoRR abs/1712.06427 (2017) - 2016
- [c24]Cyril Goutte, Serge Léger, Shervin Malmasi, Marcos Zampieri:
Discriminating Similar Languages: Evaluations and Explorations. LREC 2016 - [c23]Marcos Zampieri, Shervin Malmasi, Mark Dras:
Modeling Language Change in Historical Corpora: The Case of Portuguese. LREC 2016 - [c22]Shervin Malmasi, Marcos Zampieri, Mark Dras:
Predicting Post Severity in Mental Health Forums. CLPsych@HLT-NAACL 2016: 133-137 - [c21]Shervin Malmasi, Marcos Zampieri:
MAZA at SemEval-2016 Task 11: Detecting Lexical Complexity Using a Decision Stump Meta-Classifier. SemEval@NAACL-HLT 2016: 991-995 - [c20]Shervin Malmasi, Mark Dras, Marcos Zampieri:
LTG at SemEval-2016 Task 11: Complex Word Identification with Classifier Ensembles. SemEval@NAACL-HLT 2016: 996-1000 - [c19]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 - [c18]Shervin Malmasi:
Subdialectal Differences in Sorani Kurdish. VarDial@COLING 2016: 89-96 - [c17]Shervin Malmasi, Marcos Zampieri:
Arabic Dialect Identification in Speech Transcripts. VarDial@COLING 2016: 106-113 - [e1]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] - [i3]Marcos Zampieri, Shervin Malmasi, Mark Dras:
Modeling Language Change in Historical Corpora: The Case of Portuguese. CoRR abs/1610.00030 (2016) - [i2]Cyril Goutte, Serge Léger, Shervin Malmasi, Marcos Zampieri:
Discriminating Similar Languages: Evaluations and Explorations. CoRR abs/1610.00031 (2016) - 2015
- [c16]Shervin Malmasi, Hamed Hassanzadeh, Mark Dras:
Clinical Information Extraction Using Word Representations. ALTA 2015: 66-74 - [c15]Shervin Malmasi, Mark Dras:
Cognate Identification using Machine Translation. ALTA 2015: 138-141 - [c14]Shervin Malmasi, Aoife Cahill:
Measuring Feature Diversity in Native Language Identification. BEA@NAACL-HLT 2015: 49-55 - [c13]Maolin Wang, Shervin Malmasi, Mingxuan Huang:
The Jinan Chinese Learner Corpus. BEA@NAACL-HLT 2015: 118-123 - [c12]Shervin Malmasi, Joel R. Tetreault, Mark Dras:
Oracle and Human Baselines for Native Language Identification. BEA@NAACL-HLT 2015: 172-178 - [c11]Shervin Malmasi, Mark Dras:
Large-Scale Native Language Identification with Cross-Corpus Evaluation. HLT-NAACL 2015: 1403-1409 - [c10]Shervin Malmasi, Eshrag Refaee, Mark Dras:
Arabic Dialect Identification Using a Parallel Multidialectal Corpus. PACLING 2015: 35-53 - [c9]Shervin Malmasi, Mark Dras:
Location Mention Detection in Tweets and Microblogs. PACLING 2015: 123-134 - [c8]Shervin Malmasi, Mark Dras, Irina P. Temnikova:
Norwegian Native Language Identification. RANLP 2015: 404-412 - [i1]Shervin Malmasi:
Discriminating Similar Languages: Persian and Dari. Tiny Trans. Comput. Sci. 3 (2015) - 2014
- [c7]Shervin Malmasi, Mark Dras:
Finnish Native Language Identification. ALTA 2014: 139-144 - [c6]Shervin Malmasi:
A Data-driven Approach to Studying Given Names and their Gender and Ethnicity Associations. ALTA 2014: 145-149 - [c5]Shervin Malmasi, Mark Dras:
Chinese Native Language Identification. EACL 2014: 95-99 - [c4]Shervin Malmasi, Mark Dras:
Language Transfer Hypotheses with Linear SVM Weights. EMNLP 2014: 1385-1390 - [c3]Shervin Malmasi, Mark Dras:
From Visualisation to Hypothesis Construction for Second Language Acquisition. TextGraphs@EMNLP 2014: 56-64 - [c2]Shervin Malmasi, Mark Dras:
Arabic Native Language Identification. ANLP@EMNLP 2014: 180-186 - 2013
- [c1]Shervin Malmasi, Sze-Meng Jojo Wong, Mark Dras:
NLI Shared Task 2013: MQ Submission. BEA@NAACL-HLT 2013: 124-133
Coauthor Index
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