Abstract
Community question answering (cQA) portals have accumulated numerous questions and their answers over time. Community users can search questions in cQA portals, but the returning answers often contain information which is redundant or irrelevant to the questions. Relying on the similar questions and their answers from the cQA portals, we propose appropriate answer generating methods for List-type and Solution-type questions (almost half of all questions). The results show that the answer generating methods can improve the answer quality significantly.
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Tao, H., Hao, Y., Zhu, X. (2012). Answer Generating Methods for Community Question and Answering Portals. In: Zhou, M., Zhou, G., Zhao, D., Liu, Q., Zou, L. (eds) Natural Language Processing and Chinese Computing. NLPCC 2012. Communications in Computer and Information Science, vol 333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34456-5_23
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DOI: https://doi.org/10.1007/978-3-642-34456-5_23
Publisher Name: Springer, Berlin, Heidelberg
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