Annotating Words Using WordNet Semantic Glosses

被引：0
|
作者：
Szymanski, Julian [1 ]
Duch, Wlodzislaw [2 ,3 ]
机构：
[1] Gdansk Univ Technol, Dept Comp Syst Architecture, Gdansk, Poland
[2] Nicholas Copernicus Univ, Dept Informat, Torun, Poland
[3] Nanyang Technol Univ, Sch Comp Engn, Singapore, Singapore
来源：
NEURAL INFORMATION PROCESSING, ICONIP 2012, PT IV | 2012年 / 7666卷
关键词：
Word Sense Disambiguation; WSD; WordNet; Wikipedia; NLP; NATURAL-LANGUAGE;
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：
An approach to the word sense disambiguation (WSD) relaying on the WordNet synsets is proposed. The method uses semantically tagged glosses to perform a process similar to the spreading activation in semantic network, creating ranking of the most probable meanings for word annotation. Preliminary evaluation shows quite promising results. Comparison with the state-of-the-art WSD methods indicates that the use of WordNet relations and semantically tagged glosses should enhance accuracy of word disambiguation methods.
引用
收藏
页码：180 / 187
页数：8
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