Domain-specific knowledge acquisition from text

Authors:
Dan Moldovan;Roxana Girju;Vasile Rus
Affiliations:
University of Southern Methodist University, Dallas, Texas;University of Southern Methodist University, Dallas, Texas;University of Southern Methodist University, Dallas, Texas
Venue:
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Year:
2000

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Abstract

In many knowledge intensive applications, it is necessary to have extensive domain-specific knowledge in addition to general-purpose knowledge bases. This paper presents a methodology for discovering domain-specific concepts and relationships in an attempt to extend WordNet. The method was tested on five seed concepts selected from the financial domain: interest rate, stock market, inflation, economic growth, and employment.