Information retrieval and text categorization with semantic indexing

被引：0
|
作者：
Rosso, P [1 ]
Molina, A [1 ]
Pla, F [1 ]
Jiménez, D [1 ]
Vidal, V [1 ]
机构：
[1] Univ Politecn Valencia, Dpto Sist Informat & Computac, E-46071 Valencia, Spain
来源：
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING | 2004年 / 2945卷
关键词：
D O I：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we present the effect of the semantic indexing using WordNet senses on the Information Retrieval (IR) and Text Categorization (TC) tasks. The documents have been sense-tagged using a Word Sense Disambiguation (WSD) system based on Specialized Hidden Markov Models (SHMMs). The preliminary results showed that a small improvement of the performance was obtained only in the TC task.
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页码：596 / 600
页数：5
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