A generalized framework of exploring category information for question retrieval in community question answer archives

  • Authors:
  • Xin Cao;Gao Cong;Bin Cui;Christian S. Jensen

  • Affiliations:
  • Aalborg University, Aalborg, Denmark;Aalborg University, Aalborg, Denmark;Peking University, Beijing, China;Aalborg University, Aalborg, Denmark

  • Venue:
  • Proceedings of the 19th international conference on World wide web
  • Year:
  • 2010

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Abstract

Community Question Answering (CQA) has emerged as a popular type of service where users ask and answer questions and access historical question-answer pairs. CQA archives contain very large volumes of questions organized into a hierarchy of categories. As an essential function of CQA services, question retrieval in a CQA archive aims to retrieve historical question-answer pairs that are relevant to a query question. In this paper, we present a new approach to exploiting category information of questions for improving the performance of question retrieval, and we apply the approach to existing question retrieval models, including a state-of-the-art question retrieval model. Experiments conducted on real CQA data demonstrate that the proposed techniques are capable of outperforming a variety of baseline methods significantly.