Lexical chains for question answering

  • Authors:
  • Dan Moldovan;Adrian Novischi

  • Affiliations:
  • Richardson, TX;Richardson, TX

  • Venue:
  • COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
  • Year:
  • 2002

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Abstract

The paper presents a method for finding topically related words on an extended WordNet. By exploiting the information in the WordNet glosses, the connectivity between the synsets is dramatically increased. Topical relations expressed as lexical chains on extended WordNet improve the performance of a question answering system by increasing the document retrieval recall and by providing the much needed axioms that link question keywords with answers.