This paper describes a method for automatically extracting domain-specific glossaries from large document collections. We show that, compared with current text analysis methods for extracting technical terminology from text, our extracted glossaries more successfully support applications requiring knowledge of domain concepts. After presenting our methods, we illustrate the output of GlossEx, our glossary extraction tool, and present an informal evaluation of its performance.
By: Youngja Park, Roy J. Byrd, Branimir K. Boguraev
Published in: RC22421 in 2002
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .