Linking Online Dictionaries to Wikipedia

被引:0
|
作者
Tran, Vinh Q. [1 ]
Cao, Tru H. [1 ,2 ]
机构
[1] Univ Technol VNUHCM, Ho Chi Minh City, Vietnam
[2] VNUHCM, John von Neumann Inst, Ho Chi Minh City, Vietnam
关键词
word sense; WordNet; Wiktionary; text similarity; machine learning; entity disambiguation;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In a dictionary, a word can have different senses, and each sense is described by a gloss. However, a gloss is short and may not be satisfactorily informative to users. Meanwhile, mostly each word sense has a corresponding article in Wikipedia that contains rich information about the concept expressed by the word sense. In this work, we propose two different methods to link online dictionary word senses to the appropriate Wikipedia articles, namely, text similarity and machine learning. Experimental results on Wiktionary and Oxford English Dictionary are also presented.
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页码:30 / 34
页数:5
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