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A Patent Document Retrieval System AddressingBoth Semantic and Syntactic Properties

机译:兼具语义和句法特性的专利文献检索系统

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Combining the principle of DifferentialrnLatent Semantic Index (DLSI) (Chen etrnal., 2001) and the Template MatchingrnTechnique (Tokuda and Chen, 2001), wernpropose a new user queries-based patentrndocument retrieval system by NLP technology.rnThe DLSI method first narrowsrndown the search space of a sought-afterrnpatent document by content search andrnthe template matching technique thenrnpins down the documents by exploitingrnthe words-based template matchingrnscheme by syntactic search. Comparedrnwith the synonymous search scheme byrnthesaurus dictionaries, the new methodrnresults in an improved overall retrievalrnefficiency of patent documents.
机译:结合差分语义索引(DLSI)(Chen et al。,2001)和模板匹配技术(Tokuda and Chen,2001)的原理,提出了一种基于NLP技术的基于用户查询的专利文献检索系统。通过内容搜索和模板匹配技术,在寻求专利的文档空间中使用模板,然后通过句法搜索利用基于单词的模板匹配方案来固定文档。与同义词库词典的同义词搜索方案相比,该新方法可提高专利文献的整体检索效率。

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