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A Novel Pattern Learning Method for Open Domain Question Answering

  • Yongping Du
  • Xuanjing Huang
  • Xin Li
  • Lide Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3248)

Abstract

Open Domain Question Answering (QA) represents an advanced application of natural language processing. We develop a novel pattern based method for implementing answer extraction in QA. For each type of question, the corresponding answer patterns can be learned from the Web automatically. Given a new question, these answer patterns can be applied to find the answer. Although many other QA systems have used pattern based method, however, it is noteworthy that our method has been implemented automatically and it can handle the problem other system failed, and satisfactory results have been achieved. Finally, we give a performance analysis of this approach using the TREC-11 question set.

Keywords

Noun Phrase Question Type Question Answering Pattern Learn Answer Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yongping Du
    • 1
  • Xuanjing Huang
    • 1
  • Xin Li
    • 1
  • Lide Wu
    • 1
  1. 1.Department of Computer ScienceFudan UniversityShanghai

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