Man vs. machine: a case study in base noun phrase learning

Authors:
Eric Brill;Grace Ngai
Affiliations:
The Johns Hopkins University, Baltimore, MD;The Johns Hopkins University, Baltimore, MD
Venue:
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Year:
1999

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Abstract

A 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.