Answering Contextual Questions Based on the Cohesion with Knowledge
Answering Contextual Questions Based on the Cohesion with Knowledge
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DOI：
10.1142/s0219427907001615
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发表时间：
2006-12
期刊：
影响因子：
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通讯作者：
Tatsunori Mori;Shinpei Kawaguchi;Madoka Ishioroshi
中科院分区：
文献类型：
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作者：
Tatsunori Mori;Shinpei Kawaguchi;Madoka Ishioroshi
在本文中，我们提出了一个日本问答（QA）系统，回答上下文的问题，使用日本的非上下文QA系统。上下文问题通常包含参考表达式来参考以前的问题及其答案。我们通过寻找指称的解释来解决语境问句中的指称消解问题，从而最大限度地提高与知识的衔接，即，信息源，如文档集合。我们利用从非上下文问答系统中获得的答案候选的适当性作为内聚度。实验结果表明，该方法能有效地消除语境问句的歧义。
In this paper, we propose a Japanese question-answering (QA) system to answer contextual questions using a Japanese non-contextual QA system. The contextual questions usually contain reference expressions to refer to previous questions and their answers. We address the reference resolution in contextual questions by finding the interpretation of references so as to maximize the cohesion with knowledge, i.e., information source like document collections. We utilize the appropriateness of the answer candidate obtained from the non-contextual QA system as the degree of the cohesion. The experimental results show that the proposed method is effective to disambiguate the interpretation of contextual questions.