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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
[j20]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)- [j19]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 and opportunities for fact-checking. Nat. Mac. Intell. 6(8): 852-863 (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 Muhammad 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 - [i116]Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein:
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. CoRR abs/2401.14440 (2024) - [i115]Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein:
Understanding Fine-grained Distortions in Reports of Scientific Findings. CoRR abs/2402.12431 (2024) - [i114]Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma:
Investigating the Impact of Model Instability on Explanations and Uncertainty. CoRR abs/2402.13006 (2024) - [i113]Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein:
Investigating Human Values in Online Communities. CoRR abs/2402.14177 (2024) - [i112]Haeun Yu, Pepa Atanasova, Isabelle Augenstein:
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. CoRR abs/2404.18655 (2024) - [i111]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) - [i110]Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein:
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. CoRR abs/2406.14425 (2024) - [i109]Jingyi Sun, Pepa Atanasova, Isabelle Augenstein:
A Unified Framework for Input Feature Attribution Analysis. CoRR abs/2406.15085 (2024) - [i108]Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent:
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. CoRR abs/2406.17753 (2024) - [i107]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) - [i106]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) - [i105]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) - [i104]Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell:
Can Transformers Learn n-gram Language Models? CoRR abs/2410.03001 (2024) - [i103]Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein:
FLARE: Faithful Logic-Aided Reasoning and Exploration. CoRR abs/2410.11900 (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]