Question-Answer Matching: Two Complementary Methods

نویسندگان

  • Karine Lavenus
  • Jens Grivolla
  • Laurent Gillard
  • Patrice Bellot
چکیده

This paper presents different ways at different steps of question answering process to improve question answer match. First we discuss about the role and the importance of question categorization to guide the pairing. In order to process linguistic criteria, we describe a question pattern based categorization. Then we propose a statistical method and a linguistic method to enhance the pairing probability. The statistical method aims to modify weights of keywords and expansions within the classical Information Retrieval (IR) vector space model whereas the linguistic method is based on answer pattern matching.

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تاریخ انتشار 2004