Making semantic topicality robust through term abstraction

  • Authors:
  • Paul M. Heider;Rohini K. Srihari

  • Affiliations:
  • The State University of New York, Buffalo, NY;Janya, Inc., Amherst, NY

  • Venue:
  • DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
  • Year:
  • 2009

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Abstract

Despite early intuitions, semantic similarity has not proven to be robust for splitting multiparty interactions into separate conversations. We discuss some initial successes with using thesaural headwords to abstract the semantics of an utterance. This simple profiling technique showed improvements over baseline conversation threading models.