Development of a benchmark corpus to support entity recognition in job descriptions

Green, T.A.F. orcid.org/0000-0002-5643-2473, Maynard, D. orcid.org/0000-0002-1773-7020 and Lin, C. orcid.org/0000-0003-3454-2468 (2022) Development of a benchmark corpus to support entity recognition in job descriptions. In: Proceedings of the Thirteenth Language Resources and Evaluation Conference. Thirteenth Language Resources and Evaluation Conference, 20-25 Jun 2022, Marseille, France. European Language Resources Association , pp. 1201-1208. ISBN 9791095546726

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Item Type: Proceedings Paper
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© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0. (http://creativecommons.org/licenses/by-nc/4.0/)

Keywords: entity recognition; corpus development; job descriptions; natural language processing
Dates:
  • Published: June 2022
  • Published (online): June 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jan 2024 17:24
Last Modified: 25 Jan 2024 17:33
Published Version: https://aclanthology.org/2022.lrec-1.128
Status: Published
Publisher: European Language Resources Association
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