DocumentCode
1849637
Title
Linking online dictionaries to Wikipedia
Author
Tran, Vinh Q. ; Cao, Tru H.
Author_Institution
Univ. of Technol. - VNUHCM, Ho Chi Minh City, Vietnam
fYear
2015
fDate
25-28 Jan. 2015
Firstpage
30
Lastpage
34
Abstract
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.
Keywords
Web sites; dictionaries; learning (artificial intelligence); natural language processing; text analysis; Oxford English Dictionary; Wikipedia articles; Wiktionary; concept information; entity disambiguation; gloss; machine learning; online dictionary; text similarity; word sense; Context; Dictionaries; Electronic publishing; Encyclopedias; Internet; Semantics; Wiktionary; WordNet; entity disambiguation; machine learning; text similarity; word sense;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
Conference_Location
Can Tho
Print_ISBN
978-1-4799-8043-7
Type
conf
DOI
10.1109/RIVF.2015.7049870
Filename
7049870
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