Information retrieval by means of word sense disambiguation

被引：0
|
作者：
Ureña, LA
Hidalgo, JMG
de Buenaga, M
机构：
[1] Univ Jaen, Dept Informat, Jaen 23071, Spain
[2] Univ Europea, CEES, Dpto Inteligencia Artificial, Madrid 28670, Spain
来源：
TEXT, SPEECH AND DIALOGUE, PROCEEDINGS | 2000年 / 1902卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The increasing problem of information overload can be reduced by the improvement of information access tasks like Information Retrieval. Relevance Feedback plays a key role in this task, and is typically based only on the information extracted from documents judged by the user for a given query. We propose to make use of a thesaurus to complement this information to improve RE This must be done by means of a Word Sense Disambiguation process that correctly identifies the suitable information from the thesaurus WORDNET. The results of our experiments show that the utilisation of a thesaurus requires Word Sense Disambiguation, and that with this process, Relevance Feedback is substantially improved.
引用
收藏
页码：93 / 98
页数：6
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