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Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements

2022-05-18 09:27:58
Anna Pillar, Kyrill Poelmans, Martha Larson
arXiv_CL
       
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 (translated)

URL

https://arxiv.org/abs/2205.08813

PDF

https://arxiv.org/pdf/2205.08813.pdf

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