Abstract
Information retrieval has been proven effective in discovering specific passages within large collections of documents in response to a user query. Users frequently obtain brief answers to specific questions instead of obtaining the whole documents. The QA system can process the question statement in Chinese natural language fashion and find out the implicit intention of the user query. This study proposes a Chinese Question Answering system based on HowNet and Autotag. The experiment collected 900 Chinese News items from www.chinatimes.com and presented an excellent MRR (Mean Reciprocal Rate) value at 0.84.
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© 2003 Springer-Verlag Berlin Heidelberg
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Meng, IH., Yang, WP. (2003). The Design and Implementation of Chinese Question and Answering System. In: Kumar, V., Gavrilova, M.L., Tan, C.J.K., L’Ecuyer, P. (eds) Computational Science and Its Applications — ICCSA 2003. ICCSA 2003. Lecture Notes in Computer Science, vol 2667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44839-X_64
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DOI: https://doi.org/10.1007/3-540-44839-X_64
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