A Semantic Approach for Question Analysis

  • Dai Quoc Nguyen
  • Dat Quoc Nguyen
  • Son Bao Pham
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7345)

Abstract

The first step that a question answering system must perform is to transform an input question into an intermediate representation. All published works so far use rule-based approaches to realize this transformation in question answering systems. Nevertheless, in existing rule-based approaches, manually creating the rules is error-prone and expensive in time and effort. In this paper, we focus on introducing a rule-based approach that offers an intuitive way to create compact rules for extracting intermediate representation of input questions. Experimental results are promising where our system achieves reasonable performance and demonstrate that it is straightforward to adapt to new domains and languages.

Keywords

Noun Phrase Intermediate Representation Semantic Approach Semantic Constraint Question Analysis 
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 2012

Authors and Affiliations

  • Dai Quoc Nguyen
    • 1
  • Dat Quoc Nguyen
    • 1
  • Son Bao Pham
    • 1
    • 2
  1. 1.Faculty of Information TechnologyUniversity of Engineering and Technology, Vietnam National UniversityHanoiVietnam
  2. 2.Information Technology InstituteVietnam National UniversityHanoiVietnam

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