An answer passage retrieval strategy for web-based question answering

  • Authors:
  • Xin Li;Dawei Hu;Tianyong Hao;Enhong Chen;Liu Wenyin

  • Affiliations:
  • University of Science & Technology of China, Hefei, China and CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;University of Science & Technology of China, Hefei, China and CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China;City University of Hong Kong, Hong Kong, China;University of Science & Technology of China, Hefei, China and CityU-USTC Advanced Research Institute, Suzhou, China;CityU-USTC Advanced Research Institute, Suzhou, China and City University of Hong Kong, Hong Kong, China

  • Venue:
  • Proceedings of the 2nd international conference on Scalable information systems
  • Year:
  • 2007

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Abstract

A passage retrieval strategy for our web-based Question Answering (QA) system is proposed in this paper. We utilize Google to retrieve web documents for answer passage finding. We propose a new method to rewrite the query for passage retrieval. We calculate the relevancy between the query and the passage by combining the term frequency and semantic relevancy. The method has been found effective in the experiment on factoid questions of TREC 2003.