Automatic generation of semantic patterns for user-interactive question answering

  • Authors:
  • Tianyong Hao;Wanpeng Song;Dawei Hu;Wenyin Liu

  • Affiliations:
  • Department of Computer Science, City University of Hong Kong, Hong Kong, China;Department of Computer Science, City University of Hong Kong, Hong Kong, China and Department of Computer Science and Technology, University of Science & Technology of China, Hefei, China;Department of Computer Science, City University of Hong Kong, Hong Kong, China and Department of Computer Science and Technology, University of Science & Technology of China, Hefei, China;Department of Computer Science, City University of Hong Kong, Hong Kong, China

  • Venue:
  • AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
  • Year:
  • 2008

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Abstract

An automatic method for generation of semantic patterns from free-text questions is proposed in this paper. An evaluation method is also proposed to estimate the suitability of the generated patterns and implemented in our user-interactive question answering (QA) system. Experiments with 5500 questions show that 63.9% generated patterns are satisfactory in the average.