Difference between revisions of "A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia"
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| + | | title = A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia | ||
| + | | date = 2013 | ||
| + | | authors = [[Dongjin Choi]]<br />[[Juhyun Shin]]<br />[[Eunji Lee]]<br />[[Pankoo Kim]] | ||
| + | | doi = 10.1109/IMIS.2013.44 | ||
| + | | link = http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6603675 | ||
| + | }} | ||
'''A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Dongjin Choi]], [[Juhyun Shin]], [[Eunji Lee]] and [[Pankoo Kim]]. | '''A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2013, written by [[Dongjin Choi]], [[Juhyun Shin]], [[Eunji Lee]] and [[Pankoo Kim]]. | ||
== Overview == | == Overview == | ||
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]]. Authors goal is not finding acronym definition or expansion but recommending the most appropriate expansion of given acronyms. | 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]]. Authors goal is not finding acronym definition or expansion but recommending the most appropriate expansion of given acronyms. | ||
Revision as of 01:08, 18 January 2021
Authors | Dongjin Choi Juhyun Shin Eunji Lee Pankoo Kim |
|---|---|
Publication date | 2013 |
DOI | 10.1109/IMIS.2013.44 |
Links | Original |
A Method for Recommending the Most Appropriate Expansion of Acronyms Using Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Dongjin Choi, Juhyun Shin, Eunji Lee and Pankoo Kim.
Overview
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. Authors goal is not finding acronym definition or expansion but recommending the most appropriate expansion of given acronyms.
