|A method for recommending the most appropriate expansion of acronyms using wikipedia|
|Author(s)||Choi D., Shin J., Lee E., Kim P.|
|Published in||Proceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013|
|Keyword(s)||Acronym expansion, Acronyms, Information extraction, Text mining, Wikipedia (Extra: Acronyms, Co-occurrence words, Text mining, Wikipedia, Data mining, Information retrieval, Internet, Machine components, Ubiquitous computing, Problem solving)|
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A method for recommending the most appropriate expansion of acronyms using wikipedia is a 2013 conference paper written in English by Choi D., Shin J., Lee E., Kim P. and published in Proceedings - 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2013.
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.
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