Title :
Linking online dictionaries to Wikipedia
Author :
Tran, Vinh Q. ; Cao, Tru H.
Author_Institution :
Univ. of Technol. - VNUHCM, Ho Chi Minh City, Vietnam
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;
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
DOI :
10.1109/RIVF.2015.7049870