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Machine Reading, Fast and Slow: When Do Models "Understand" Language?


Sep 15, 2022
Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein

* Accepted COLING 2022 

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Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection


May 09, 2022
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein

* Accepted to NAACL'22 as a short paper 

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Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models


May 08, 2022
Karolina Stańczak, Edoardo Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein

* Accepted at NAACL 2022 (Main Conference) 

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Fact Checking with Insufficient Evidence


Apr 05, 2022
Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein

* 14 pages 

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Probing Pre-Trained Language Models for Cross-Cultural Differences in Values


Mar 25, 2022
Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein


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Generating Scientific Claims for Zero-Shot Scientific Fact Checking


Mar 24, 2022
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang

* Accepted to ACL 2022; 13 pages, 3 figures, 8 tables 

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Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings


Feb 14, 2022
Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm


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A Latent-Variable Model for Intrinsic Probing


Jan 20, 2022
Karolina Stańczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein


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A Survey on Gender Bias in Natural Language Processing


Dec 28, 2021
Karolina Stanczak, Isabelle Augenstein


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