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Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.

, , , and . EACL, page 3743-3755. Association for Computational Linguistics, (2023)

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A Surprisingly Robust Trick for the Winograd Schema Challenge., , , , and . ACL (1), page 4837-4842. Association for Computational Linguistics, (2019)Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns., , , and . EACL, page 3743-3755. Association for Computational Linguistics, (2023)WikiCREM: A Large Unsupervised Corpus for Coreference Resolution., , , , , and . EMNLP/IJCNLP (1), page 4302-4311. Association for Computational Linguistics, (2019)The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets., , and . CoRR, (2020)A Review of Winograd Schema Challenge Datasets and Approaches., , , , and . CoRR, (2020)The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets., , and . AAAI, page 13180-13188. AAAI Press, (2021)Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup., , , and . EMNLP (Findings), page 3486-3501. Association for Computational Linguistics, (2022)A Surprisingly Robust Trick for Winograd Schema Challenge., , , , and . CoRR, (2019)Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution., , , and . EMNLP (1), page 4963-4969. Association for Computational Linguistics, (2020)The Defeat of the Winograd Schema Challenge (Abstract Reprint)., , , , and . AAAI, page 22703. AAAI Press, (2024)