Pith. sign in

REVIEW 3 cited by

They, Them, Theirs: Rewriting with Gender-Neutral English

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2102.06788 v1 pith:YHTSZDTY submitted 2021-02-12 cs.CL

classification cs.CL
keywords englishtheyapplicationsgender-neutralinclusivetaskablebenchmark
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

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.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Agree to Disagree? A Meta-Evaluation of LLM Misgendering

    cs.CL 2025-04 accept novelty 7.0 of 10

    Probability-based and generation-based evaluations of LLM misgendering disagree on about a fifth of instances, and human review shows misgendering goes beyond pronouns.

  2. GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns

    cs.CL 2025-05 conditional novelty 6.0 of 10

    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.

  3. Are We Paying Attention to Her? Investigating Gender Disambiguation and Attention in Machine Translation

    cs.CL 2025-05 conditional novelty 5.0 of 10

    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...

Pith tools