Integrating Community Question and Answer Archives

Authors

  • Wei Wei Huazhong University of Science and Technology
  • Gao Cong Nanyang Technological University
  • Xiaoli Li Institute for Infocomm Research
  • See-Kiong Ng Institute for Infocomm Research
  • Guohui Li Huazhong University of Science and Technology

DOI:

https://doi.org/10.1609/aaai.v25i1.8086

Abstract

Question and answer pairs in Community Question Answering (CQA) services are organized into hierarchical structures or taxonomies to facilitate users to find the answers for their questions conveniently. We observe that different CQA services have their own knowledge focus and used different taxonomies to organize their question and answer pairs in their archives. As there are no simple semantic mappings between the taxonomies of the CQA services, the integration of CQA services is a challenging task. The existing approaches on integrating taxonomies ignore the hierarchical structures of the source taxonomy. In this paper, we propose a novel approach that is capable of incorporating the parent-child and sibling information in the hierarchical structures of the source taxonomy for accurate taxonomy integration. Our experimental results with real world CQA data demonstrate that the proposed method significantly outperforms state-of-the-art methods.

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Published

2011-08-04

How to Cite

Wei, W., Cong, G., Li, X., Ng, S.-K., & Li, G. (2011). Integrating Community Question and Answer Archives. Proceedings of the AAAI Conference on Artificial Intelligence, 25(1), 1255-1260. https://doi.org/10.1609/aaai.v25i1.8086