A semantic approach for question analysis

  • Authors:

  • Dai Quoc Nguyen;Dat Quoc Nguyen;Son Bao Pham

  • Affiliations:

  • Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam;Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam;Faculty of Information Technology, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam,Information Technology Institute, Vietnam National University, Hanoi, Vietn ...

  • Venue:
  • IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
  • Year:
  • 2012

  • A vietnamese text-based conversational agent

    IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence

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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.