DocumentCode
3109832
Title
A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia
Author
Dongjin Choi ; Juhyun Shin ; Eunji Lee ; Pankoo Kim
Author_Institution
Dept. of Comput. Eng., Chosun Univ., Gwangju, South Korea
fYear
2013
fDate
3-5 July 2013
Firstpage
217
Lastpage
220
Abstract
Over the years, many researchers have been studied to detect expansions of acronyms in texts by using linguistic and syntactical approaches in order to overcome disambiguation problems. Acronym is an abbreviation formed which is composed of initial components of single or multiple words. These initial components bring huge mistakes when a machine conducts experiments to find meaning from given texts. Detecting expansions of acronyms is not a big issue now days. The problem is that a polysemous acronym. In order to solve this problem, this paper proposes a method to recommend the most related expansion of acronym through analyzing co-occurrence words by using Wikipedia. Our goal is not finding acronym definition or expansion but recommending the most appropriate expansion of given acronyms.
Keywords
Web sites; data mining; information retrieval; text analysis; word processing; Wikipedia; acronym expansion detection; cooccurrence word analysis; disambiguation problem; polysemous acronym; text analysis; Abstracts; Broadcasting; Electronic publishing; Encyclopedias; Internet; Terminology; Acronym expansion; Acronyms; Information extraction; Text mining; Wikipedia;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/IMIS.2013.44
Filename
6603675
Link To Document