all AI news
Regex in a Time of Deep Learning: The Role of an Old Technology in Age Discrimination Detection in Job Advertisements. (arXiv:2205.08813v1 [cs.CL])
May 19, 2022, 1:11 a.m. | Anna Pillar, Kyrill Poelmans, Martha Larson
cs.CL updates on arXiv.org arxiv.org
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.
age arxiv deep learning detection discrimination job learning regex role technology time
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Software Engineer, Data Platforms
@ Whatnot | San Francisco, CA, Los Angeles, CA, New York City, Phoenix, AZ, Seattle, WA, Denver, CO
Staff Data Engineer, Data Platform
@ Lilt | Indianapolis
Business Data Analyst - New Division
@ Breakthru Beverage Group | Toronto, ON, Canada
Data Operations Associate
@ iCapital | New York City, United States
Senior Data Scientist, R&D
@ Plusgrade | Toronto, Ontario