Lexical paraphrasing for document retrieval and node identification

  • Authors:
  • Ingrid Zukerman;Sarah George;Yingying Wen

  • Affiliations:
  • Monash University, Clayton, Victoria, Australia;Monash University, Clayton, Victoria, Australia;Monash University, Clayton, Victoria, Australia

  • Venue:
  • PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
  • Year:
  • 2003

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Abstract

We investigate lexical paraphrasing in the context of two distinct applications: document retrieval and node identification. Document retrieval --- the first step in question answering --- retrieves documents that contain answers to user queries. Node identification --- performed in the context of a Bayesian argumentation system --- matches users' Natural Language sentences to nodes in a Bayesian network. Lexical paraphrases are generated using syntactic, semantic and corpus-based information. Our evaluation shows that lexical paraphrasing improves retrieval performance for both applications.