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：

暂无

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.

引用

页码：596 / 600

页数：5

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