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- W2548386899 abstract "This paper investigates whether and how natural language processingand data mining techniques can be utilized for locating desired knowledge in alarge text collection. This task amounts to finding cue words and phrases indicatingthe location of knowledge, where the challenge is to establish a methodologythat can cope with the diversity of expressions. We examine the feasibility ofmining cue expressions from the syntactic dependency structure obtained fromparsed sentences. As a case study, the (phrasal) expressions concerning a varietyof tests related to chronic hepatitis were sought in the Medline abstracts. We observedthat dependency analysis helped to narrow down the candidates for verbalexpressions, although it was ineffective for other types of expressions." @default.
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- W2548386899 date "2004-01-01" @default.
- W2548386899 modified "2023-09-24" @default.
- W2548386899 title "Finding cue expressions for knowledge extraction from scientific text early results" @default.
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