Lexical query paraphrasing for document retrieval

  • Authors:
  • Ingrid Zukerman;Bhavani Raskutti

  • Affiliations:
  • Monash University, Clayton, Victoria, Australia;Telstra Research Laboratories, Clayton, Victoria, Australia

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

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Abstract

We describe a mechanism for the generation of lexical paraphrases of queries posed to an Internet resource. These paraphrases are generated using WordNet and part-of-speech information to propose synonyms for the content words in the queries. Statistical information, obtained from a corpus, is then used to rank the paraphrases. We evaluated our mechanism using 404 queries whose answers reside in the LA Times subset of the TREC-9 corpus. There was a 14% improvement in performance when paraphrases were used for document retrieval.