A Linguistic Approach to Extracting Acronym Expansions from Text

Authors:
Manuel Zahariev
Affiliations:
Simon Fraser University, Department of Computing Sciences, Canada
Venue:
Knowledge and Information Systems
Year:
2004

Citing 0
Cited 2

Automatic acquisition of long-distance acronym definitions

Design and application of hybrid intelligent systems
Using text mining and natural language processing for health care claims processing

ACM SIGKDD Explorations Newsletter - Natural language processing and text mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a linguistically aided approach for the extraction of acronyms from text, with implications at the discourse, lexicon, morphologic and phonologic levels. A system implemented using this approach achieves excellent performance ($f=95.22$%) on a limited corpus. Our work indicates the adequacy of linguistic methods for acronym discovery.