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        <title>Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements</title>
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            <namePart type="given">Bharathi</namePart>
            <namePart type="given">Raja</namePart>
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    <abstract>Deep learning holds great promise for detecting discriminatory language in the public sphere. However, for the detection of illegal age discrimination in job advertisements, regex approaches are still strong performers. In this paper, we investigate job advertisements in the Netherlands. We present a qualitative analysis of the benefits of the ‘old’ approach based on regexes and investigate how neural embeddings could address its limitations.</abstract>
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%0 Conference Proceedings
%T Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements
%A Pillar, Anna
%A Poelmans, Kyrill
%A Larson, Martha
%Y Chakravarthi, Bharathi Raja
%Y Bharathi, B.
%Y McCrae, John P.
%Y Zarrouk, Manel
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F pillar-etal-2022-regex
%X Deep learning holds great promise for detecting discriminatory language in the public sphere. However, for the detection of illegal age discrimination in job advertisements, regex approaches are still strong performers. In this paper, we investigate job advertisements in the Netherlands. We present a qualitative analysis of the benefits of the ‘old’ approach based on regexes and investigate how neural embeddings could address its limitations.
%R 10.18653/v1/2022.ltedi-1.2
%U https://aclanthology.org/2022.ltedi-1.2/
%U https://doi.org/10.18653/v1/2022.ltedi-1.2
%P 13-18

Markdown (Informal)

[Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements](https://aclanthology.org/2022.ltedi-1.2/) (Pillar et al., LTEDI 2022)

• Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements (Pillar et al., LTEDI 2022)

ACL

• Anna Pillar, Kyrill Poelmans, and Martha Larson. 2022. Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 13–18, Dublin, Ireland. Association for Computational Linguistics.