Towards Lexical Gender Inference: A Scalable Methodology using Online Databases. (arXiv:2206.14055v1 [cs.CL])

This paper presents a new method for automatically detecting words with
lexical gender in large-scale language datasets. Currently, the evaluation of
gender bias in natural language processing relies on manually compiled lexicons
of gendered expressions, such as pronouns ('he', 'she', etc.) and nouns with
lexical gender ('mother', 'boyfriend', 'policewoman', etc.). However, manual
compilation of such lists can lead to static information if they are not
periodically updated and often involve value judgments by individual annotators
and researchers. Moreover, terms not …

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