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They, Them, Theirs: Rewriting with Gender-Neutral English
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Responsible development of technology involves applications being inclusive of the diverse set of users they hope to support. An important part of this is understanding the many ways to refer to a person and being able to fluently change between the different forms as needed. We perform a case study on the singular they, a common way to promote gender inclusion in English. We define a re-writing task, create an evaluation benchmark, and show how a model can be trained to produce gender-neutral English with <1% word error rate with no human-labeled data. We discuss the practical applications and ethical considerations of the task, providing direction for future work into inclusive natural language systems.
Forward citations
Cited by 3 Pith papers
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GeNRe is the first French gender-neutral rewriting system to replace masculine plural member nouns with collective nouns, reaching 3.81% WER with its rule-based version.
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Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation
The three tested English-to-Italian translation models correctly handle both sentences of a gendered minimal pair only 6 to 38 percent of the time, and they almost never override a masculine default in response to a f...
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