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Finding cue expressions for knowledge extraction from scientific text early results

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Shimbo, M and Tamamori, S and Matsumoto, Y (2004) Finding cue expressions for knowledge extraction from scientific text early results. In: Pacific Knowledge Acquisition Workship 2004, 09/08/2004 - 10/08/2004, Auckland, New Zealand.

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Abstract

This paper investigates whether and how natural language processing
and data mining techniques can be utilized for locating desired knowledge in a
large text collection. This task amounts to finding cue words and phrases indicating
the location of knowledge, where the challenge is to establish a methodology
that can cope with the diversity of expressions. We examine the feasibility of
mining cue expressions from the syntactic dependency structure obtained from
parsed sentences. As a case study, the (phrasal) expressions concerning a variety
of tests related to chronic hepatitis were sought in the Medline abstracts. We observed
that dependency analysis helped to narrow down the candidates for verbal
expressions, although it was ineffective for other types of expressions.

Item Type: Conference or Workshop Item (Paper)
Keywords: Knowledge Acquisition
Publisher: School of Computing, University of Tasmania
Page Range: pp. 1-13
Date Deposited: 05 Oct 2004
Last Modified: 18 Nov 2014 03:10
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