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ORCIDIsabelle Augenstein
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- affiliation: University of Copenhagen, Denmark
- affiliation (PhD 2016): University of Sheffield, UK
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2020 – today
- 2024
[j19]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)- [c95]Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein:
Understanding Fine-grained Distortions in Reports of Scientific Findings. ACL (Findings) 2024: 6175-6191 - [c94]Haeun Yu, Pepa Atanasova, Isabelle Augenstein:
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. ACL (1) 2024: 8173-8186 - [c93]Sara Marjanovic, Isabelle Augenstein, Christina Lioma:
Investigating the Impact of Model Instability on Explanations and Uncertainty. ACL (Findings) 2024: 11854-11879 - [c92]Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. ACL (1) 2024: 15115-15134 - [c91]Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein:
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. EACL (1) 2024: 432-444 - [c90]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? EMNLP 2024: 9851-9867 - [c89]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 - [c88]Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. EMNLP (Findings) 2024: 14346-14360 - [c87]Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein:
Social Bias Probing: Fairness Benchmarking for Language Models. EMNLP 2024: 14653-14671 - [c86]Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein:
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models. EMNLP (Findings) 2024: 17085-17112 - [i115]Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein:
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. CoRR abs/2401.14440 (2024) - [i114]Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein:
Understanding Fine-grained Distortions in Reports of Scientific Findings. CoRR abs/2402.12431 (2024) - [i113]Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma:
Investigating the Impact of Model Instability on Explanations and Uncertainty. CoRR abs/2402.13006 (2024) - [i112]Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein:
Investigating Human Values in Online Communities. CoRR abs/2402.14177 (2024) - [i111]Haeun Yu, Pepa Atanasova, Isabelle Augenstein:
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. CoRR abs/2404.18655 (2024) - [i110]Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell:
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages. CoRR abs/2406.04289 (2024) - [i109]Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein:
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. CoRR abs/2406.14425 (2024) - [i108]Jingyi Sun, Pepa Atanasova, Isabelle Augenstein:
A Unified Framework for Input Feature Attribution Analysis. CoRR abs/2406.15085 (2024) - [i107]Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent:
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. CoRR abs/2406.17753 (2024) - [i106]Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein:
Revealing Fine-Grained Values and Opinions in Large Language Models. CoRR abs/2406.19238 (2024) - [i105]Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein:
From Internal Conflict to Contextual Adaptation of Language Models. CoRR abs/2407.17023 (2024) - [i104]Alphaeus Dmonte, Roland Oruche, Marcos Zampieri, Prasad Calyam, Isabelle Augenstein:
Claim Verification in the Age of Large Language Models: A Survey. CoRR abs/2408.14317 (2024) - [i103]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? CoRR abs/2410.03001 (2024) - 2023
- [j18]Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. 55(10): 197:1-197:45 (2023) - [j17]Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives. ACM Comput. Surv. 55(10): 203:1-203:17 (2023) - [j16]Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein:
Revisiting Softmax for Uncertainty Approximation in Text Classification. Inf. 14(7): 420 (2023) - [j15]Dustin Wright, Paolo Papotti, Isabelle Augenstein:
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15(1): 1:1-1:3 (2023) - [j14]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) - [c85]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. AAAI 2023: 13591-13599 - [c84]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. ACL (2) 2023: 283-294 - [c83]Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein:
Measuring Intersectional Biases in Historical Documents. ACL (Findings) 2023: 2711-2730 - [c82]Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein:
Multilingual Event Extraction from Historical Newspaper Adverts. ACL (1) 2023: 10304-10325 - [c81]Erik Arakelyan, Arnav Arora, Isabelle Augenstein:
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. ACL (1) 2023: 13448-13464 - [c80]Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein:
PHD: Pixel-Based Language Modeling of Historical Documents. EMNLP 2023: 87-107 - [c79]Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein:
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. EMNLP 2023: 5891-5909 - [c78]Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner:
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. EMNLP 2023: 10480-10504 - [c77]Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein:
Explaining Interactions Between Text Spans. EMNLP 2023: 12709-12730 - [c76]Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein:
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. EMNLP (Findings) 2023: 13977-13998 - [c75]Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein:
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. NeurIPS 2023 - [e8]Andreas Vlachos, Isabelle Augenstein:
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-44-9 [contents] - [e7]Andreas Vlachos, Isabelle Augenstein:
Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-47-0 [contents] - [e6]Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Lena Voita:
Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-77-7 [contents] - [i102]Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein:
Adapting Neural Link Predictors for Complex Query Answering. CoRR abs/2301.12313 (2023) - [i101]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. CoRR abs/2302.02500 (2023) - [i100]Sandra Martinková, Karolina Stanczak, Isabelle Augenstein:
Measuring Gender Bias in West Slavic Language Models. CoRR abs/2304.05783 (2023) - [i99]Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein:
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. CoRR abs/2304.08315 (2023) - [i98]Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein:
Multilingual Event Extraction from Historical Newspaper Adverts. CoRR abs/2305.10928 (2023) - [i97]Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natalia da Silva Perez, Natacha Klein Käfer, Isabelle Augenstein:
Measuring Intersectional Biases in Historical Documents. CoRR abs/2305.12376 (2023) - [i96]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. CoRR abs/2305.18029 (2023) - [i95]Erik Arakelyan, Arnav Arora, Isabelle Augenstein:
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. CoRR abs/2306.00765 (2023) - [i94]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) - [i93]Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein:
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. CoRR abs/2310.05779 (2023) - [i92]Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein:
Explaining Interactions Between Text Spans. CoRR abs/2310.13506 (2023) - [i91]Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein:
PHD: Pixel-Based Language Modeling of Historical Documents. CoRR abs/2310.18343 (2023) - [i90]Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil M. P. van der Aalst, Claudia Wagner:
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. CoRR abs/2311.01270 (2023) - [i89]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) - [i88]Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein:
Social Bias Probing: Fairness Benchmarking for Language Models. CoRR abs/2311.09090 (2023) - [i87]Yevgeniy Golovchenko, Karolina Stanczak, Rebecca Adler-Nissen, Patrice Wangen, Isabelle Augenstein:
Invisible Women in Digital Diplomacy: A Multidimensional Framework for Online Gender Bias Against Women Ambassadors Worldwide. CoRR abs/2311.17627 (2023) - [i86]Karolina Stanczak, Kevin Du, Adina Williams, Isabelle Augenstein, Ryan Cotterell:
Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. CoRR abs/2311.18567 (2023) - 2022
- [j13]Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein:
Joint emotion label space modeling for affect lexica. Comput. Speech Lang. 71: 101257 (2022) - [j12]Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, Natalia Díaz Rodríguez:
Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence. Inf. Fusion 79: 263-278 (2022) - [j11]Shailza Jolly, Pepa Atanasova, Isabelle Augenstein:
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. Inf. 13(10): 500 (2022) - [j10]Isabelle Augenstein:
Habilitation Abstract: Towards Explainable Fact Checking. Künstliche Intell. 36(3): 255-258 (2022) - [j9]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) - [j8]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. Trans. Assoc. Comput. Linguistics 10: 746-763 (2022) - [c74]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. AAAI 2022: 10445-10453 - [c73]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. AAAI 2022: 10729-10737 - [c72]Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. SDU@AAAI 2022 - [c71]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) 2022: 2448-2460 - [c70]Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein:
Machine Reading, Fast and Slow: When Do Models "Understand" Language? COLING 2022: 78-93 - [c69]Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein:
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING 2022: 1620-1635 - [c68]Anabela Barreiro, José G. C. de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fábio N. Kepler, Iacer Calixto, Marcin Paprzycki, François Portet, Isabelle Augenstein, Mirela Alhasani:
Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. EAMT 2022: 345-346 - [c67]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP 2022: 1783-1807 - [c66]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. EMNLP 2022: 11670-11688 - [c65]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. NAACL-HLT (Findings) 2022: 1259-1277 - [c64]Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. NAACL-HLT 2022: 1589-1598 - [c63]Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein:
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. NAACL-HLT 2022: 4716-4726 - [c62]Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein:
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. NeurIPS 2022 - [e5]Spandana Gella, He He, Bodhisattwa Prasad Majumder, Burcu Can, Eleonora Giunchiglia, Samuel Cahyawijaya, Sewon Min, Maximilian Mozes, Xiang Lorraine Li, Isabelle Augenstein, Anna Rogers, Kyunghyun Cho, Edward Grefenstette, Laura Rimell, Chris Dyer:
Proceedings of the 7th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2022, Dublin, Ireland, May 26, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-48-3 [contents] - [i85]Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein:
A Latent-Variable Model for Intrinsic Probing. CoRR abs/2201.08214 (2022) - [i84]Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm:
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. CoRR abs/2202.06671 (2022) - [i83]Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang:
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR abs/2203.12990 (2022) - [i82]Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein:
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. CoRR abs/2203.13722 (2022) - [i81]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Fact Checking with Insufficient Evidence. CoRR abs/2204.02007 (2022) - [i80]Karolina Stanczak, Edoardo Maria Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein:
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. CoRR abs/2205.02023 (2022) - [i79]Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein:
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. CoRR abs/2205.04238 (2022) - [i78]Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein:
Machine Reading, Fast and Slow: When Do Models "Understand" Language? CoRR abs/2209.07430 (2022) - [i77]Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein:
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR abs/2210.13001 (2022) - [i76]Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein:
Revisiting Softmax for Uncertainty Approximation in Text Classification. CoRR abs/2210.14037 (2022) - [i75]Dustin Wright, Isabelle Augenstein:
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. CoRR abs/2212.09409 (2022) - 2021
- [j7]Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-aware evidence ranking for fact-checking. J. Web Semant. 71: 100663 (2021) - [c61]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? ACL/IJCNLP (2) 2021: 122-129 - [c60]Dustin Wright, Isabelle Augenstein:
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. ACL/IJCNLP (Findings) 2021: 1796-1807 - [c59]Johannes Bjerva, Isabelle Augenstein:
Does Typological Blinding Impede Cross-Lingual Sharing? EACL 2021: 480-486 - [c58]Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP (1) 2021: 325-344 - [c57]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. EMNLP (1) 2021: 9011-9028 - [c56]Dustin Wright, Isabelle Augenstein:
Semi-Supervised Exaggeration Detection of Health Science Press Releases. EMNLP (1) 2021: 10824-10836 - [c55]Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. IJCAI 2021: 3892-3898 - [c54]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. *SEM 2021: 229-240 - [e4]Isabelle Augenstein, Ivan Habernal:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Tutorial Abstracts, EACL 2021, Online, April 19-20, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-03-9 [contents] - [e3]Isabelle Augenstein, Paolo Papotti, Dustin Wright:
Proceedings of the 2021 Truth and Trust Online Conference (TTO 2021), Virtual, October 7-8, 2021. Hacks Hackers 2021 [contents] - [i74]Johannes Bjerva, Isabelle Augenstein:
Does Typological Blinding Impede Cross-Lingual Sharing? CoRR abs/2101.11888 (2021) - [i73]Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein:
Disembodied Machine Learning: On the Illusion of Objectivity in NLP. CoRR abs/2101.11974 (2021) - [i72]Nils Rethmeier, Isabelle Augenstein:
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned and Perspectives. CoRR abs/2102.12982 (2021) - [i71]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) - [i70]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
A Survey on Stance Detection for Mis- and Disinformation Identification. CoRR abs/2103.00242 (2021) - [i69]Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro:
University of Copenhagen Participation in TREC Health Misinformation Track 2020. CoRR abs/2103.02462 (2021) - [i68]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) - [i67]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Cross-Domain Label-Adaptive Stance Detection. CoRR abs/2104.07467 (2021) - [i66]Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein:
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. CoRR abs/2104.07505 (2021) - [i65]Dustin Wright, Isabelle Augenstein:
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. CoRR abs/2105.10912 (2021) - [i64]Isabelle Augenstein:
Determining the Credibility of Science Communication. CoRR abs/2105.14473 (2021) - [i63]Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell:
Is Sparse Attention more Interpretable? CoRR abs/2106.01087 (2021) - [i62]Anna Rogers, Matt Gardner, Isabelle Augenstein:
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR abs/2107.12708 (2021) - [i61]Isabelle Augenstein:
Towards Explainable Fact Checking. CoRR abs/2108.10274 (2021) - [i60]Dustin Wright, Isabelle Augenstein:
Semi-Supervised Exaggeration Detection of Health Science Press Releases. CoRR abs/2108.13493 (2021) - [i59]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Diagnostics-Guided Explanation Generation. CoRR abs/2109.03756 (2021) - [i58]Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein:
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR abs/2109.06050 (2021) - [i57]Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein:
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? CoRR abs/2109.07022 (2021) - [i56]Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein:
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? CoRR abs/2109.07102 (2021) - [i55]Shailza Jolly, Pepa Atanasova, Isabelle Augenstein:
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. CoRR abs/2112.06924 (2021) - [i54]Sara Marjanovic, Karolina Stanczak, Isabelle Augenstein:
Quantifying Gender Biases Towards Politicians on Reddit. CoRR abs/2112.12014 (2021) - [i53]Karolina Stanczak, Isabelle Augenstein:
A Survey on Gender Bias in Natural Language Processing. CoRR abs/2112.14168 (2021) - 2020
- [c53]Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Temporal Adaptation of Text Representations. AAAI 2020: 7440-7447 - [c52]Pranav A, Isabelle Augenstein:
2kenize: Tying Subword Sequences for Chinese Script Conversion. ACL 2020: 7257-7272 - [c51]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. ACL 2020: 7352-7364 - [c50]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. BlackboxNLP@EMNLP 2020: 83-90 - [c49]Dustin Wright, Isabelle Augenstein:
Claim Check-Worthiness Detection as Positive Unlabelled Learning. EMNLP (Findings) 2020: 476-488 - [c48]Anna Rogers, Isabelle Augenstein:
What Can We Do to Improve Peer Review in NLP? EMNLP (Findings) 2020: 1256-1262 - [c47]Pepa Atanasova, Dustin Wright, Isabelle Augenstein:
Generating Label Cohesive and Well-Formed Adversarial Claims. EMNLP (1) 2020: 3168-3177 - [c46]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. EMNLP (1) 2020: 3256-3274 - [c45]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. EMNLP (1) 2020: 4547-4562 - [c44]Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein:
SubjQA: A Dataset for Subjectivity and Review Comprehension. EMNLP (1) 2020: 5480-5494 - [c43]Dustin Wright, Isabelle Augenstein:
Transformer Based Multi-Source Domain Adaptation. EMNLP (1) 2020: 7963-7974 - [c42]Lucas Chaves Lima, Dustin Brandon Wright, Isabelle Augenstein, Maria Maistro:
University of Copenhagen Participation in TREC Health Misinformation Track 2020. TREC 2020 - [c41]Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. UAI 2020: 440-449 - [c40]Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein:
Semantic Textual Similarity of Sentences with Emojis. WWW (Companion Volume) 2020: 426-430 - [i52]Dustin Wright, Isabelle Augenstein:
Fact Check-Worthiness Detection as Positive Unlabelled Learning. CoRR abs/2003.02736 (2020) - [i51]Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein:
Zero-Shot Cross-Lingual Transfer with Meta Learning. CoRR abs/2003.02739 (2020) - [i50]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
Generating Fact Checking Explanations. CoRR abs/2004.05773 (2020) - [i49]Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein:
SubjQA: A Dataset for Subjectivity and Review Comprehension. CoRR abs/2004.14283 (2020) - [i48]Pranav A, Isabelle Augenstein:
2kenize: Tying Subword Sequences for Chinese Script Conversion. CoRR abs/2005.03375 (2020) - [i47]Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein:
Inducing Language-Agnostic Multilingual Representations. CoRR abs/2008.09112 (2020) - [i46]Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein:
Multi-Hop Fact Checking of Political Claims. CoRR abs/2009.06401 (2020) - [i45]Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens:
Time-Aware Evidence Ranking for Fact-Checking. CoRR abs/2009.06402 (2020) - [i44]Dustin Wright, Isabelle Augenstein:
Transformer Based Multi-Source Domain Adaptation. CoRR abs/2009.07806 (2020) - [i43]Pepa Atanasova, Dustin Wright, Isabelle Augenstein:
Generating Label Cohesive and Well-Formed Adversarial Claims. CoRR abs/2009.08205 (2020) - [i42]Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein:
A Diagnostic Study of Explainability Techniques for Text Classification. CoRR abs/2009.13295 (2020) - [i41]Nils Rethmeier, Isabelle Augenstein:
Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data. CoRR abs/2010.01061 (2020) - [i40]Lukas Muttenthaler, Isabelle Augenstein, Johannes Bjerva:
Unsupervised Evaluation for Question Answering with Transformers. CoRR abs/2010.03222 (2020) - [i39]Anna Rogers, Isabelle Augenstein:
What Can We Do to Improve Peer Review in NLP? CoRR abs/2010.03863 (2020) - [i38]Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary, Giuseppe G. A. Celano, Edoardo Maria Ponti, Ekaterina Vylomova, Ryan Cotterell, Isabelle Augenstein:
SIGTYP 2020 Shared Task: Prediction of Typological Features. CoRR abs/2010.08246 (2020) - [i37]Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein:
Longitudinal Citation Prediction using Temporal Graph Neural Networks. CoRR abs/2012.05742 (2020) - [i36]Andrea Lekkas, Peter Schneider-Kamp, Isabelle Augenstein:
Multi-Sense Language Modelling. CoRR abs/2012.05776 (2020)
2010 – 2019
- 2019
- [j6]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What Do Language Representations Really Represent? Comput. Linguistics 45(2): 381-389 (2019) - [c39]Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
Latent Multi-Task Architecture Learning. AAAI 2019: 4822-4829 - [c38]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. ACL (1) 2019: 1706-1716 - [c37]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
Uncovering Probabilistic Implications in Typological Knowledge Bases. ACL (1) 2019: 3924-3930 - [c36]Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. DeepLo@EMNLP-IJCNLP 2019: 253-258 - [c35]Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard:
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. DeepLo@EMNLP-IJCNLP 2019: 265-274 - [c34]Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. EMNLP/IJCNLP (1) 2019: 4684-4696 - [c33]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. NAACL-HLT (1) 2019: 635-640 - [c32]Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Søgaard:
Issue Framing in Online Discussion Fora. NAACL-HLT (1) 2019: 1401-1407 - [c31]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
A Probabilistic Generative Model of Linguistic Typology. NAACL-HLT (1) 2019: 1529-1540 - [c30]Ana Valeria González-Garduño, Victor Petrén Bach Hansen, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
CoAStaL at SemEval-2019 Task 3: Affect Classification in Dialogue using Attentive BiLSTMs. SemEval@NAACL-HLT 2019: 169-174 - [e2]Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 [contents] - [i35]Johannes Bjerva, Robert Östling, Maria Han Veiga, Jörg Tiedemann, Isabelle Augenstein:
What do Language Representations Really Represent? CoRR abs/1901.02646 (2019) - [i34]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
A Probabilistic Generative Model of Linguistic Typology. CoRR abs/1903.10950 (2019) - [i33]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein:
Combining Sentiment Lexica with a Multi-View Variational Autoencoder. CoRR abs/1904.02839 (2019) - [i32]Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Søgaard:
Issue Framing in Online Discussion Fora. CoRR abs/1904.03969 (2019) - [i31]Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell:
Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. CoRR abs/1906.04760 (2019) - [i30]Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein:
Uncovering Probabilistic Implications in Typological Knowledge Bases. CoRR abs/1906.07389 (2019) - [i29]Mostafa Abdou, Cezar Sas, Rahul Aralikatte, Isabelle Augenstein, Anders Søgaard:
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension. CoRR abs/1908.05111 (2019) - [i28]Johannes Bjerva, Katharina Kann, Isabelle Augenstein:
Transductive Auxiliary Task Self-Training for Neural Multi-Task Models. CoRR abs/1908.06136 (2019) - [i27]Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen:
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. CoRR abs/1909.03242 (2019) - [i26]Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein:
Back to the Future - Sequential Alignment of Text Representations. CoRR abs/1909.03464 (2019) - [i25]Joachim Bingel, Victor Petrén Bach Hansen, Ana Valeria González-Garduño, Pawel Budzianowski, Isabelle Augenstein, Anders Søgaard:
Domain Transfer in Dialogue Systems without Turn-Level Supervision. CoRR abs/1909.07101 (2019) - [i24]Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard:
Retrieval-based Goal-Oriented Dialogue Generation. CoRR abs/1909.13717 (2019) - [i23]Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein:
Mapping (Dis-)Information Flow about the MH17 Plane Crash. CoRR abs/1910.01363 (2019) - [i22]Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein:
Joint Emotion Label Space Modelling for Affect Lexica. CoRR abs/1911.08782 (2019) - [i21]Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein:
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. CoRR abs/1912.00982 (2019) - 2018
- [j5]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-aware rumour stance classification in social media using sequential classifiers. Inf. Process. Manag. 54(2): 273-290 (2018) - [c29]Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel:
Jack the Reader - A Machine Reading Framework. ACL (4) 2018: 25-30 - [c28]Katharina Kann, Johannes Bjerva, Isabelle Augenstein, Barbara Plank, Anders Søgaard:
Character-level Supervision for Low-resource POS Tagging. DeepLo@ACL 2018: 1-11 - [c27]Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein:
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. CoNLL Shared Task (1) 2018: 93-98 - [c26]Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. BlackboxNLP@EMNLP 2018: 25-29 - [c25]Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard:
A strong baseline for question relevancy ranking. EMNLP 2018: 4810-4815 - [c24]Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. EMNLP 2018: 4992-4997 - [c23]Johannes Bjerva, Isabelle Augenstein:
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. NAACL-HLT 2018: 907-916 - [c22]Isabelle Augenstein, Sebastian Ruder, Anders Søgaard:
Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces. NAACL-HLT 2018: 1896-1906 - [c21]Thomas Nyegaard-Signori, Casper Veistrup Helms, Johannes Bjerva, Isabelle Augenstein:
KU-MTL at SemEval-2018 Task 1: Multi-task Identification of Affect in Tweets. SemEval@NAACL-HLT 2018: 385-389 - [e1]Isabelle Augenstein, Kris Cao, He He, Felix Hill, Spandana Gella, Jamie Kiros, Hongyuan Mei, Dipendra Misra:
Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-43-8 [contents] - [i20]Johannes Bjerva, Isabelle Augenstein:
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. CoRR abs/1802.09375 (2018) - [i19]Isabelle Augenstein, Sebastian Ruder, Anders Søgaard:
Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces. CoRR abs/1802.09913 (2018) - [i18]Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel:
Jack the Reader - A Machine Reading Framework. CoRR abs/1806.08727 (2018) - [i17]Ana Valeria González-Garduño, Isabelle Augenstein, Anders Søgaard:
A strong baseline for question relevancy ranking. CoRR abs/1808.08836 (2018) - [i16]Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. CoRR abs/1808.09055 (2018) - [i15]Anders Søgaard, Miryam de Lhoneux, Isabelle Augenstein:
Nightmare at test time: How punctuation prevents parsers from generalizing. CoRR abs/1809.00070 (2018) - [i14]Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein:
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. CoRR abs/1809.01541 (2018) - 2017
- [j4]Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva:
Generalisation in named entity recognition: A quantitative analysis. Comput. Speech Lang. 44: 61-83 (2017) - [j3]Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna:
An unsupervised data-driven method to discover equivalent relations in large Linked Datasets. Semantic Web 8(2): 197-223 (2017) - [c20]Isabelle Augenstein, Anders Søgaard:
Multi-Task Learning of Keyphrase Boundary Classification. ACL (2) 2017: 341-346 - [c19]Ed Collins, Isabelle Augenstein, Sebastian Riedel:
A Supervised Approach to Extractive Summarisation of Scientific Papers. CoNLL 2017: 195-205 - [c18]Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum:
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. SemEval@ACL 2017: 546-555 - [i13]Isabelle Augenstein, Leon Derczynski, Kalina Bontcheva:
Generalisation in Named Entity Recognition: A Quantitative Analysis. CoRR abs/1701.02877 (2017) - [i12]Isabelle Augenstein, Anders Søgaard:
Multi-Task Learning of Keyphrase Boundary Classification. CoRR abs/1704.00514 (2017) - [i11]Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, Andrew McCallum:
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications. CoRR abs/1704.02853 (2017) - [i10]Elena Kochkina, Maria Liakata, Isabelle Augenstein:
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. CoRR abs/1704.07221 (2017) - [i9]Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard:
Sluice networks: Learning what to share between loosely related tasks. CoRR abs/1705.08142 (2017) - [i8]Ed Collins, Isabelle Augenstein, Sebastian Riedel:
A Supervised Approach to Extractive Summarisation of Scientific Papers. CoRR abs/1706.03946 (2017) - [i7]Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis, Sebastian Riedel:
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task. CoRR abs/1707.03264 (2017) - [i6]Johannes Bjerva, Isabelle Augenstein:
Tracking Typological Traits of Uralic Languages in Distributed Language Representations. CoRR abs/1711.05468 (2017) - [i5]Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein:
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers. CoRR abs/1712.02223 (2017) - 2016
- [b2]Isabelle Augenstein:
Web relation extraction with distant supervision. University of Sheffield, UK, 2016 - [b1]Diana Maynard, Kalina Bontcheva, Isabelle Augenstein:
Natural Language Processing for the Semantic Web. Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers 2016, ISBN 978-3-031-79473-5 - [j2]Isabelle Augenstein, Diana Maynard, Fabio Ciravegna:
Distantly supervised Web relation extraction for knowledge base population. Semantic Web 7(4): 335-349 (2016) - [c17]Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel:
emoji2vec: Learning Emoji Representations from their Description. SocialNLP@EMNLP 2016: 48-54 - [c16]Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. EMNLP 2016: 876-885 - [c15]Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel:
Numerically Grounded Language Models for Semantic Error Correction. EMNLP 2016: 987-992 - [c14]Piroska Lendvai, Isabelle Augenstein, Kalina Bontcheva, Thierry Declerck:
Monolingual Social Media Datasets for Detecting Contradiction and Entailment. LREC 2016 - [c13]Isabelle Augenstein, Andreas Vlachos, Kalina Bontcheva:
USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders. SemEval@NAACL-HLT 2016: 389-393 - [i4]Isabelle Augenstein, Tim Rocktäschel, Andreas Vlachos, Kalina Bontcheva:
Stance Detection with Bidirectional Conditional Encoding. CoRR abs/1606.05464 (2016) - [i3]Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel:
Numerically Grounded Language Models for Semantic Error Correction. CoRR abs/1608.04147 (2016) - [i2]Ben Eisner, Tim Rocktäschel, Isabelle Augenstein, Matko Bosnjak, Sebastian Riedel:
emoji2vec: Learning Emoji Representations from their Description. CoRR abs/1609.08359 (2016) - 2015
- [c12]Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva:
USFD: Twitter NER with Drift Compensation and Linked Data. NUT@IJCNLP 2015: 48-53 - [c11]Isabelle Augenstein, Andreas Vlachos, Diana Maynard:
Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning. EMNLP 2015: 747-757 - [i1]Leon Derczynski, Isabelle Augenstein, Kalina Bontcheva:
USFD: Twitter NER with Drift Compensation and Linked Data. CoRR abs/1511.03088 (2015) - 2014
- [j1]Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein:
"Linked data as background knowledge for information extraction on the web" by Ziqi Zhang, Anna Lisa Gentile and Isabelle Augenstein with Martin Vesely as coordinator. SIGWEB Newsl. 2014(Summer): 5:1-5:9 (2014) - [c10]Isabelle Augenstein:
Seed Selection for Distantly Supervised Web-Based Relation Extraction. SWAIE@COLING 2014: 17-24 - [c9]Isabelle Augenstein, Diana Maynard, Fabio Ciravegna:
Relation Extraction from the Web Using Distant Supervision. EKAW 2014: 26-41 - [c8]Isabelle Augenstein:
Joint Information Extraction from the Web Using Linked Data. ISWC (2) 2014: 505-512 - 2013
- [c7]Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein, Eva Blomqvist, Fabio Ciravegna:
Mining Equivalent Relations from Linked Data. ACL (2) 2013: 289-293 - [c6]Isabelle Augenstein, Anna Lisa Gentile, Barry Norton, Ziqi Zhang, Fabio Ciravegna:
Mapping Keywords to Linked Data Resources for Automatic Query Expansion. KNOW@LOD 2013: 9-20 - [c5]Isabelle Augenstein, Anna Lisa Gentile, Barry Norton, Ziqi Zhang, Fabio Ciravegna:
Mapping Keywords to Linked Data Resources for Automatic Query Expansion. ESWC (Satellite Events) 2013: 101-112 - [c4]Anna Lisa Gentile, Ziqi Zhang, Isabelle Augenstein, Fabio Ciravegna:
Unsupervised wrapper induction using linked data. K-CAP 2013: 41-48 - [c3]Eva Blomqvist, Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein, Fabio Ciravegna:
Statistical Knowledge Patterns for Characterising Linked Data. WOP 2013 - [c2]Ziqi Zhang, Anna Lisa Gentile, Eva Blomqvist, Isabelle Augenstein, Fabio Ciravegna:
Statistical Knowledge Patterns: Identifying Synonymous Relations in Large Linked Datasets. ISWC (1) 2013: 703-719 - 2012
- [c1]Isabelle Augenstein, Sebastian Padó, Sebastian Rudolph:
LODifier: Generating Linked Data from Unstructured Text. ESWC 2012: 210-224
Coauthor Index
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