Abstract

An acronym is an abbreviation of several words in such a way that the abbreviation itself forms a pronounceable word. Acronyms occur frequently throughout various documents, especially those of a technical nature, for example, research papers and patents. While these acronyms can enhance document readability, in a variety of fields, they have a negative effect on business intelligence. To resolve this problem, we propose a method of acronym-expansion disambiguation to collect high-quality enterprise information. In experimental evaluations, we demonstrate its efficiency through the use of objective comparisons.

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Cite this article

@article{cai-2215,
  author  = {Myunggwon Hwang and Do-Heon Jeong and Jinhyung Kim and Sa-Kwang Song and Hanmin Jung and Sajjad Mazhar},
  title   = {Acronym-Expansion Disambiguation for Intelligent Processing of Enterprise Information},
  journal = {Computing and Informatics},
  volume  = {33},
  number  = {3},
  pages   = {503--517},
  year    = {2014},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2014/3/acronym-expansion-disambiguation-for-intelligent-processing-of-enterprise-information/}
}
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