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This prompt is measuring \textlessmask\textgreater: evaluating bias evaluation in language models.

, , , and . ACL (Findings), page 2209-2225. Association for Computational Linguistics, (2023)

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It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance., , , and . ACL (Findings), page 3234-3279. Association for Computational Linguistics, (2023)Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses., , and . NAACL-HLT, page 917-928. Association for Computational Linguistics, (2018)Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications., , , , , and . NAACL-HLT, page 314-324. Association for Computational Linguistics, (2022)Responsible AI Considerations in Text Summarization Research: A Review of Current Practices., , , , , and . EMNLP (Findings), page 6246-6261. Association for Computational Linguistics, (2023)Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English., and . CoRR, (2017)Examining Responsibility and Deliberation in AI Impact Statements and Ethics Reviews., , , , , , , and . AIES, page 424-435. ACM, (2022)FairPrism: Evaluating Fairness-Related Harms in Text Generation., , , , , , , , and . ACL (1), page 6231-6251. Association for Computational Linguistics, (2023)Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities., , and . CoRR, (2023)This Prompt is Measuring : Evaluating Bias Evaluation in Language Models., , , and . CoRR, (2023)A Dataset and Classifier for Recognizing Social Media English., , and . NUT@EMNLP, page 56-61. Association for Computational Linguistics, (2017)