UIUC: A knowledge-rich approach to identifying semantic relations between nominals

Brandon Beamer, Suma Bhat, Brant Chee, Andrew Fister, Alla Rozovskaya, Roxana Girju

Research output: Contribution to conferencePaper

Abstract

This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs different sets of new and previously used lexical, syntactic, and semantic features extracted from various knowledge sources. At SemEval 2007 the system achieved an F-measure of 72.4% and an accuracy of 76.3%.

Original languageEnglish (US)
Pages386-389
Number of pages4
StatePublished - Jan 1 2007
Event4th International Workshop on Semantic Evaluations, SemEval 2007 - Prague, Czech Republic
Duration: Jun 23 2007Jun 24 2007

Other

Other4th International Workshop on Semantic Evaluations, SemEval 2007
CountryCzech Republic
CityPrague
Period6/23/076/24/07

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

Cite this

Beamer, B., Bhat, S., Chee, B., Fister, A., Rozovskaya, A., & Girju, R. (2007). UIUC: A knowledge-rich approach to identifying semantic relations between nominals. 386-389. Paper presented at 4th International Workshop on Semantic Evaluations, SemEval 2007, Prague, Czech Republic.