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Finding cue expressions for knowledge extraction from scientific text early results
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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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)|
|Publisher:||School of Computing, University of Tasmania|
|Page Range:||pp. 1-13|
|Date Deposited:||05 Oct 2004|
|Last Modified:||18 Nov 2014 03:10|
|Item Statistics:||View statistics for this item|
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