Isabelle Augenstein

Most-cited papers

Factuality challenges in the era of large language models and opportunities for fact-checking
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty +14 more
2023Nature Machine Intelligence321 citations Open access
Semantic Scholar
A Diagnostic Study of Explainability Techniques for Text Classification
Pepa Atanasova, J. Simonsen, C. Lioma, Isabelle Augenstein
2020Conference on Empirical Methods in Natural Language Processing296 citations Open access
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Generating Fact Checking Explanations
Pepa Atanasova, J. Simonsen, C. Lioma, Isabelle Augenstein
2020Annual Meeting of the Association for Computational Linguistics258 citations Open access
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Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
2022C3NLP211 citations Open access
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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers, Matt Gardner, Isabelle Augenstein
2021ACM Computing Surveys208 citations Open access
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A Survey on Stance Detection for Mis- and Disinformation Identification
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021NAACL-HLT193 citations Open access
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Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence
Andrea Holzinger, Matthias Dehmer, F. Emmert-Streib, Natalia M. Diaz-Rodriguez +5 more
2021Information Fusion191 citations Open access
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A Survey on Gender Bias in Natural Language Processing
Karolina Stańczak, Isabelle Augenstein
2021arXiv.org175 citations
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Survey of Cultural Awareness in Language Models: Text and Beyond
S. Pawar, Junyeong Park, Jiho Jin, Arnav Arora +6 more
2024arXiv.org161 citations
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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp +1 more
2022Conference on Empirical Methods in Natural Language Processing156 citations Open access
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Faithfulness Tests for Natural Language Explanations
Pepa Atanasova, Oana-Maria Camburu, C. Lioma, Thomas Lukasiewicz +2 more
2023Annual Meeting of the Association for Computational Linguistics150 citations Open access
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Zero-Shot Cross-Lingual Transfer with Meta Learning
F. Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein
2020Conference on Empirical Methods in Natural Language Processing122 citations Open access
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Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Yu-Xia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora +9 more
2023Conference on Empirical Methods in Natural Language Processing121 citations Open access
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A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives
Nils Rethmeier, Isabelle Augenstein
2021ACM Computing Surveys121 citations Open access
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Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go
Arnav Arora, Preslav Nakov, Momchil Hardalov, Sheikh Muhammad Sarwar +7 more
2021ACM Computing Surveys111 citations Open access
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Cross-Domain Label-Adaptive Stance Detection
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
2021Conference on Empirical Methods in Natural Language Processing90 citations Open access
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Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl +3 more
2022Annual Meeting of the Association for Computational Linguistics83 citations Open access
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Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
J. Tiedemann, Isabelle Augenstein, Madhumita Sushil, Valerio Basile +496 more
202183 citations Open access
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Inducing Language-Agnostic Multilingual Representations
Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
2020STARSEM73 citations Open access
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What Can We Do to Improve Peer Review in NLP?
Anna Rogers, Isabelle Augenstein
2020Findings65 citations Open access
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Multi-Hop Fact Checking of Political Claims
W. Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein
2020International Joint Conference on Artificial Intelligence63 citations Open access
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What Do Language Representations Really Represent?
Johannes Bjerva, Robert Östling, Maria Han Veiga, J. Tiedemann +1 more
2019Computational Linguistics61 citations Open access
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Disembodied Machine Learning: On the Illusion of Objectivity in NLP
Zeerak Talat, Smarika Lulz, Joachim Bingel, Isabelle Augenstein
2021arXiv.org60 citations
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Transformer Based Multi-Source Domain Adaptation
Dustin Wright, Isabelle Augenstein
2020Conference on Empirical Methods in Natural Language Processing58 citations Open access
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SubjQA: A Dataset for Subjectivity and Review Comprehension
Johannes Bjerva, Nikita Bhutani, Behzad Golshan, W. Tan +1 more
2020Conference on Empirical Methods in Natural Language Processing54 citations Open access
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Is Sparse Attention more Interpretable?
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
2021Annual Meeting of the Association for Computational Linguistics53 citations Open access
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Claim Check-Worthiness Detection as Positive Unlabelled Learning
Dustin Wright, Isabelle Augenstein
2020Findings53 citations Open access
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Generating Label Cohesive and Well-Formed Adversarial Claims
Pepa Atanasova, Dustin Wright, Isabelle Augenstein
2020Conference on Empirical Methods in Natural Language Processing51 citations Open access
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Social Bias Probing: Fairness Benchmarking for Language Models
Marta Marchiori Manerba, Karolina Stańczak, Riccardo Guidotti, Isabelle Augenstein
2023Conference on Empirical Methods in Natural Language Processing47 citations Open access
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Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
2024North American Chapter of the Association for Computational Linguistics42 citations Open access
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DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
Sara Vera Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro +2 more
2024Conference on Empirical Methods in Natural Language Processing41 citations Open access
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CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
Dustin Wright, Isabelle Augenstein
2021Findings34 citations Open access
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People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein +2 more
2023Conference on Empirical Methods in Natural Language Processing33 citations
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Claim Verification in the Age of Large Language Models: A Survey
A. Dmonte, Roland Oruche, Marcos Zampieri, Prasad Calyam +1 more
2024Annual Meeting of the Association for Computational Linguistics31 citations
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Detecting Abusive Language on Online Platforms: A Critical Analysis
Arnav Arora, Preslav Nakov, Vibha Nayak, Kyle D. Dent +7 more
2021arXiv.org30 citations
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Quantifying gender bias towards politicians in cross-lingual language models
Karolina Stańczak, Sagnik Raychoudhury, Tiago Pimentel, Ryan Cotterell +1 more
2021PLoS ONE30 citations Open access
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez +1 more
2023Neural Information Processing Systems27 citations
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Fact Checking with Insufficient Evidence
Pepa Atanasova, J. Simonsen, C. Lioma, Isabelle Augenstein
2022Transactions of the Association for Computational Linguistics27 citations Open access
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What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein, Anej Svete, R. Chan, Josef Valvoda +4 more
2024Annual Meeting of the Association for Computational Linguistics25 citations
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Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein
2022North American Chapter of the Association for Computational Linguistics24 citations Open access
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Time-Aware Evidence Ranking for Fact-Checking
Liesbeth Allein, Isabelle Augenstein, Marie-Francine Moens
2020Journal of Web Semantics24 citations Open access
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TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester +2 more
2023Neural Information Processing Systems23 citations Open access
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Machine Reading, Fast and Slow: When Do Models “Understand” Language?
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
2022International Conference on Computational Linguistics22 citations Open access
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Towards Explainable Fact Checking
Isabelle Augenstein
2021arXiv.org22 citations
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Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data
Nils Rethmeier, Isabelle Augenstein
2020arXiv.org22 citations
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Longitudinal Citation Prediction using Temporal Graph Neural Networks
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
2020SDU@AAAI22 citations
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Modeling Information Change in Science Communication with Semantically Matched Paraphrases
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
2022Conference on Empirical Methods in Natural Language Processing21 citations Open access
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SIGTYP 2020 Shared Task: Prediction of Typological Features
Johannes Bjerva, Elizabeth Salesky, Sabrina J. Mielke, Aditi Chaudhary +5 more
2020SIGTYP21 citations Open access
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Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan, Zhao-Qi Liu, Isabelle Augenstein
2024Conference of the European Chapter of the Association for Computational Linguistics20 citations
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Quantifying gender biases towards politicians on Reddit
Sara Vera Marjanović, Karolina Stańczak, Isabelle Augenstein
2021PLoS ONE20 citations Open access
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