Isabelle Augenstein

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 207

Top Venues

University of Sheffield, UK (PHD)

Education History

University of Sheffield, UK

PHD

Publications

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) (2024)
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. CoRR (2024)
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. CoRR (2024)
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge Belongie, Isabelle Augenstein
Revealing Fine-Grained Values and Opinions in Large Language Models. CoRR (2024)
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. CoRR (2024)
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
A Unified Framework for Input Feature Attribution Analysis. CoRR (2024)
Sara Marjanovic, Isabelle Augenstein, Christina Lioma
Investigating the Impact of Model Instability on Explanations and Uncertainty. ACL (Findings) (2024)
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
Investigating Human Values in Online Communities. CoRR (2024)
Sara Vera Marjanovic, Isabelle Augenstein, Christina Lioma
Investigating the Impact of Model Instability on Explanations and Uncertainty. CoRR (2024)
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 (2024)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
Understanding Fine-grained Distortions in Reports of Scientific Findings. ACL (Findings) (2024)
Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent
Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. CoRR (2024)
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. ACL (1) (2024)
Sara Vera Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
From Internal Conflict to Contextual Adaptation of Language Models. CoRR (2024)
Amelie Wührl, Dustin Wright, Roman Klinger, Isabelle Augenstein
Understanding Fine-grained Distortions in Reports of Scientific Findings. CoRR (2024)
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. EACL (1) (2024)
Dustin Wright, Paolo Papotti, Isabelle Augenstein
Introduction to the Special Issue on Truth and Trust Online. ACM J. Data Inf. Qual. 15 (1) (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. CoRR (2023)
Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein
Explaining Interactions Between Text Spans. CoRR (2023)
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. CoRR (2023)
Sandra Martinková, Karolina Stanczak, Isabelle Augenstein
Measuring Gender Bias in West Slavic Language Models. CoRR (2023)
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 (2023)
Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein
Multilingual Event Extraction from Historical Newspaper Adverts. ACL (1) (2023)
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
Revisiting Softmax for Uncertainty Approximation in Text Classification. Inf. 14 (7) (2023)
Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
A Latent-Variable Model for Intrinsic Probing. AAAI (2023)
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. EMNLP (2023)
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
PHD: Pixel-Based Language Modeling of Historical Documents. EMNLP (2023)
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. EMNLP (Findings) (2023)
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) (2023)
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natalia da Silva Perez, Natacha Klein Käfer, Isabelle Augenstein
Measuring Intersectional Biases in Historical Documents. CoRR (2023)
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. NeurIPS (2023)
Nils Rethmeier, Isabelle Augenstein
A Primer on Contrastive Pretraining in Language Processing: Methods, Lessons Learned, and Perspectives. ACM Comput. Surv. 55 (10) (2023)
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. EMNLP (2023)
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection. CoRR (2023)
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
PHD: Pixel-Based Language Modeling of Historical Documents. CoRR (2023)
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 (2023)
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. CoRR (2023)
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. CoRR (2023)
Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein
Explaining Interactions Between Text Spans. EMNLP (2023)
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. ACL (1) (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. ACL (2) (2023)
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 (2023)
Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein
Social Bias Probing: Fairness Benchmarking for Language Models. CoRR (2023)
Karolina Stanczak, Kevin Du, Adina Williams, Isabelle Augenstein, Ryan Cotterell
Grammatical Gender's Influence on Distributional Semantics: A Causal Perspective. CoRR (2023)
Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein
Multilingual Event Extraction from Historical Newspaper Adverts. CoRR (2023)
Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
Adapting Neural Link Predictors for Complex Query Answering. CoRR (2023)
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) (2023)
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein
Measuring Intersectional Biases in Historical Documents. ACL (Findings) (2023)
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. CoRR (2023)
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)
Klim Zaporojets, Lucie-Aimée Kaffee, Johannes Deleu, Thomas Demeester, Chris Develder, Isabelle Augenstein
TempEL: Linking Dynamically Evolving and Newly Emerging Entities. NeurIPS (2022)
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
A Survey on Stance Detection for Mis- and Disinformation Identification. NAACL-HLT (Findings) (2022)
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
Machine Reading, Fast and Slow: When Do Models "Understand" Language? COLING (2022)
Dustin Wright, Isabelle Augenstein
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization. CoRR (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Fact Checking with Insufficient Evidence. CoRR (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. EMNLP (2022)
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)
Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. CoRR (2022)
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 (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Fact Checking with Insufficient Evidence. Trans. Assoc. Comput. Linguistics 10 (2022)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Diagnostics-Guided Explanation Generation. AAAI (2022)
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. EMNLP (2022)
Karolina Stanczak, Edoardo Maria Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein
Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. CoRR (2022)
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)
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein
Machine Reading, Fast and Slow: When Do Models "Understand" Language? CoRR (2022)
Isabelle Augenstein
Habilitation Abstract: Towards Explainable Fact Checking. Künstliche Intell. 36 (3) (2022)
Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein
Modeling Information Change in Science Communication with Semantically Matched Paraphrases. CoRR (2022)
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 (2022)
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)
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. CoRR (2022)
Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
Longitudinal Citation Prediction using Temporal Graph Neural Networks. SDU@AAAI (2022)
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 (2022)
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. AAAI (2022)
Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein
A Latent-Variable Model for Intrinsic Probing. CoRR (2022)
Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. Inf. 13 (10) (2022)
Andreas Nugaard Holm, Dustin Wright, Isabelle Augenstein
Revisiting Softmax for Uncertainty Approximation in Text Classification. CoRR (2022)
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. CoRR (2022)
Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein
Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? COLING (2022)
Luna De Bruyne, Pepa Atanasova, Isabelle Augenstein
Joint emotion label space modeling for affect lexica. Comput. Speech Lang. 71 (2022)
Anna Rogers, Matt Gardner, Isabelle Augenstein
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR (2021)
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein
Diagnostics-Guided Explanation Generation. CoRR (2021)
Shailza Jolly, Pepa Atanasova, Isabelle Augenstein
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. CoRR (2021)
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 (2021)
Wei Zhao, Steffen Eger, Johannes Bjerva, Isabelle Augenstein
Inducing Language-Agnostic Multilingual Representations. *SEM (2021)
Sheikh Muhammad Sarwar, Dimitrina Zlatkova, Momchil Hardalov, Yoan Dinkov, Isabelle Augenstein, Preslav Nakov
A Neighbourhood Framework for Resource-Lean Content Flagging. CoRR (2021)
Dustin Wright, Isabelle Augenstein
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. ACL/IJCNLP (Findings) (2021)
Johannes Bjerva, Isabelle Augenstein
Does Typological Blinding Impede Cross-Lingual Sharing? EACL (2021)
Johannes Bjerva, Isabelle Augenstein
Does Typological Blinding Impede Cross-Lingual Sharing? CoRR (2021)
Isabelle Augenstein
Determining the Credibility of Science Communication. CoRR (2021)
Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein
Can Edge Probing Tasks Reveal Linguistic Knowledge in QA Models? CoRR (2021)
Dustin Wright, Isabelle Augenstein
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. CoRR (2021)
Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. CoRR (2021)
Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? EMNLP (1) (2021)
Zeerak Waseem, Smarika Lulz, Joachim Bingel, Isabelle Augenstein
Disembodied Machine Learning: On the Illusion of Objectivity in NLP. CoRR (2021)
Dustin Wright, Isabelle Augenstein
Semi-Supervised Exaggeration Detection of Health Science Press Releases. EMNLP (1) (2021)
Isabelle Augenstein
Towards Explainable Fact Checking. CoRR (2021)
Indira Sen, Mattia Samory, Fabian Flöck, Claudia Wagner, Isabelle Augenstein
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? CoRR (2021)
Karolina Stanczak, Isabelle Augenstein
A Survey on Gender Bias in Natural Language Processing. CoRR (2021)
Dustin Wright, Isabelle Augenstein
Semi-Supervised Exaggeration Detection of Health Science Press Releases. CoRR (2021)
Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein
Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Isabelle Augenstein