Proper name classification in an information extraction toolset

Authors:
Peter Wallis;Edmund Yuen;Greg Chase
Affiliations:
DSTO, Salisbury;DSTO, Salisbury;DSTO, Salisbury
Venue:
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Year:
1998

Citing 2
Cited 0

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Abstract

Applied discourse analysis is a hot topic in Information Retrieval (IR) and the related field of Information Extraction (IE). Although interesting observations about discourse can be made "by hand," applications require large quantities of data about language --- data which is rather uninteresting. This paper investigates using statistical analysis over a body of text to suggest new rules for recognizing named entities.