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论坛 数据科学与人工智能 人工智能 人工智能论文版
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2018-01-22
摘要:To enable natural language interfaces to databases more efficient and robust,two kinds of techniques,language paraphrasing and result analyzing,are widely used to help users to understand the system's intermediate language,and the query result meaning in some times. For the limitation of intermediate language adopted in some NLIDBs ,they could not give efficient and practical paraphrasing algorithms. Based on semantic dependency tree in NChiql,we present a completed paraphrasing algorithm which is suitable to Chinese languages.

原文链接:http://www.cqvip.com//QK/92817X/200112/5938316.html

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