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Fairlex: A multilingual benchmark for evaluating fairness in legal text processing ...
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Fairlex: A multilingual benchmark for evaluating fairness in legal text processing ...
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FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing ...
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Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks ...
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Factual Consistency of Multilingual Pretrained Language Models ...
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Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning ...
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How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns ...
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Abstract:
Gender-neutral pronouns have recently been introduced in many languages to a) include non-binary people and b) as a generic singular. Recent results from psycho-linguistics suggest that gender-neutral pronouns (in Swedish) are not associated with human processing difficulties. This, we show, is in sharp contrast with automated processing. We show that gender-neutral pronouns in Danish, English, and Swedish are associated with higher perplexity, more dispersed attention patterns, and worse downstream performance. We argue that such conservativity in language models may limit widespread adoption of gender-neutral pronouns and must therefore be resolved. ... : To appear at NAACL 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2204.10281 https://arxiv.org/abs/2204.10281
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Replicating and Extending "Because Their Treebanks Leak": Graph Isomorphism, Covariants, and Parser Performance ...
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The Impact of Positional Encodings on Multilingual Compression ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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Evaluation of Summarization Systems across Gender, Age, and Race ...
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Replicating and Extending ``Because Their Treebanks Leak'': Graph Isomorphism, Covariants, and Parser Performance ...
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Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ...
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Minimax and Neyman–Pearson Meta-Learning for Outlier Languages ...
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