Acrophile: an automated acronym extractor and server

  • Authors:
  • Leah S. Larkey;Paul Ogilvie;M. Andrew Price;Brenden Tamilio

  • Affiliations:
  • Department of Computer Science, University of Massachusetts, Amherst, MA;Department of Computer Science, University of Massachusetts, Amherst, MA;Department of Computer Science, University of Massachusetts, Amherst, MA;School of Cognitive Science, Hampshire College, Amherst, MA

  • Venue:
  • DL '00 Proceedings of the fifth ACM conference on Digital libraries
  • Year:
  • 2000

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Abstract

We implemented a web server for acronym and abbreviation lookup, containing a collection of acronyms and their expansions gathered from a large number of web pages by a heuristic extraction process. Several different extraction algorithms were evaluated and compared. The corpus resulting from the best algorithm is comparable to a high-quality hand-crafted site, but has the potential to be much more inclusive as data from more web pages are processed.