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Answering Any Class of Japanese Non-factoid Question by Using the Web and Example Q#x00026;A Pairs from a Social Q#x00026;A Website

机译:通过使用网络和示例Q&A对从社交Q&A网站回答任何类别的非因子问题

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In this paper, we propose a method of non-factoid Web question-answering that can uniformly deal with any class of Japanese non-factoid question by using a large number of example Q&A pairs. Instead of preparing classes of questions beforehand, the method retrieves already asked question examples similar to a submitted question from a set of Q&A pairs. Then, instead of preparing clue expressions for the writing style of answers according to each question class beforehand, it dynamically extracts clue expressions from the answer examples corresponding to the retrieved question examples. This clue expression information is combined with topical content information from the question to extract appropriate answer candidates. The experimental results showed that the clue expressions obtained from the set of examples improved the accuracy of answer candidate extraction.
机译:在本文中,我们提出了一种非因子Web问答方法,可以通过使用大量示例Q&对统一地处理任何类别的非因子问题。该方法而不是预先准备问题类,而是检索问题示例类似于来自一组Q&对的提交的问题。然后,预先根据每个问题类准备用于写入样式的线索表达式,而是动态提取与对应于检索的问题示例的答案示例的线索表达式。该线索表达信息与来自问题的主题内容信息组合,以提取适当的答案候选者。实验结果表明,从该实施例中获得的线索表达改善了应答候选提取的准确性。

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