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Inconsistency Detection in Job Postings

Authors: Joana Urbano, Miguel Couto, Gil Rocha, and Henrique Lopes Cardoso

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)


Abstract
The use of AI in recruitment is growing and there is AI software that reads jobs' descriptions in order to select the best candidates for these jobs. However, it is not uncommon for these descriptions to contain inconsistencies such as contradictions and ambiguities, which confuses job candidates and fools the AI algorithm. In this paper, we present a model based on natural language processing (NLP), machine learning (ML), and rules to detect these inconsistencies in the description of language requirements and to alert the recruiter to them, before the job posting is published. We show that the use of an hybrid model based on ML techniques and a set of domain-specific rules to extract the language details from sentences achieves high performance in the detection of inconsistencies.

Cite as

Joana Urbano, Miguel Couto, Gil Rocha, and Henrique Lopes Cardoso. Inconsistency Detection in Job Postings. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 25:1-25:16, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2021)


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@InProceedings{urbano_et_al:OASIcs.LDK.2021.25,
  author =	{Urbano, Joana and Couto, Miguel and Rocha, Gil and Lopes Cardoso, Henrique},
  title =	{{Inconsistency Detection in Job Postings}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{25:1--25:16},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.25},
  URN =		{urn:nbn:de:0030-drops-145612},
  doi =		{10.4230/OASIcs.LDK.2021.25},
  annote =	{Keywords: NLP, Ambiguities, Contradictions, Recruitment software}
}
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