Fuzzy Word Similarity: A Semantic Approach Using WordNet

被引：0
|
作者：
Manna, Sukanya [1 ]
Mendis, B. Sumudu U. [1 ]
机构：
[1] Australian Natl Univ, Sch Comp Sci, Informat & Human Centered Comp Grp, Canberra, ACT 0200, Australia
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) | 2010年
关键词：
D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a hybrid measure of semantic word similarity using fuzzy inference system which combines both the corpus based distance measures as well as gloss overlap to get the final similarity between two words. We use WordNet as a lexical dictionary to get semantic information about words. We show that this new measure reasonably correlates to human judgments and the average performance is boosted by using triangular membership function in the output.
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页数：8
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