Man [and Woman] vs. Machine: A Case Study in Base Noun Phrase Learning

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dc.creatorBrill, Eric
dc.creatorNgai, Grace
dc.date2001-05-02
dc.date.accessioned2026-07-07T03:17:06Z
dc.date.available2026-07-07T03:17:06Z
dc.descriptionA great deal of work has been done demonstrating the ability of machine learning algorithms to automatically extract linguistic knowledge from annotated corpora. Very little work has gone into quantifying the difference in ability at this task between a person and a machine. This paper is a first step in that direction.
dc.description8 pages, 2 figures, presented at ACL 1999
dc.identifierhttps://arxiv.org/abs/cs/0105002
dc.identifierhttp://arxiv.org/abs/cs/0105002
dc.identifierProceedings of the 37th Annual Meeting of the Association of Computational Linguistics, pages 65-72, College Park, MD, USA (1999)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30599
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleMan [and Woman] vs. Machine: A Case Study in Base Noun Phrase Learning
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