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        <namePart type="given">Catherine</namePart>
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            <title>Proceedings of the The Fourth Widening Natural Language Processing Workshop</title>
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    <abstract>Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion. In this paper, we introduce a mathematical framework of fairness for NLG followed by an evaluation of gender biases in two state-of-the-art language models. Our analysis provides a theoretical formulation for biases in NLG and empirical evidence that existing language generation models embed gender bias.</abstract>
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    <identifier type="doi">10.18653/v1/2020.winlp-1.27</identifier>
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%0 Conference Proceedings
%T Defining and Evaluating Fair Natural Language Generation
%A Yeo, Catherine
%A Chen, Alyssa
%S Proceedings of the The Fourth Widening Natural Language Processing Workshop
%D 2020
%8 July
%I Association for Computational Linguistics
%C Seattle, USA
%F yeo-chen-2020-defining
%X Our work focuses on the biases that emerge in the natural language generation (NLG) task of sentence completion. In this paper, we introduce a mathematical framework of fairness for NLG followed by an evaluation of gender biases in two state-of-the-art language models. Our analysis provides a theoretical formulation for biases in NLG and empirical evidence that existing language generation models embed gender bias.
%R 10.18653/v1/2020.winlp-1.27
%U https://aclanthology.org/2020.winlp-1.27
%U https://doi.org/10.18653/v1/2020.winlp-1.27
%P 107-109

Markdown (Informal)

[Defining and Evaluating Fair Natural Language Generation](https://aclanthology.org/2020.winlp-1.27) (Yeo & Chen, WiNLP 2020)

• Defining and Evaluating Fair Natural Language Generation (Yeo & Chen, WiNLP 2020)

ACL

• Catherine Yeo and Alyssa Chen. 2020. Defining and Evaluating Fair Natural Language Generation. In Proceedings of the The Fourth Widening Natural Language Processing Workshop, pages 107–109, Seattle, USA. Association for Computational Linguistics.