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<Paper uid="W03-2001">
  <Title>A Patent Document Retrieval System Addressing Both Semantic and Syntactic Properties</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Combining the principle of Differential Latent Semantic Index (DLSI) (Chen et al., 2001) and the Template Matching Technique (Tokuda and Chen, 2001), we propose a new user queries-based patent document retrieval system by NLP technology. The DLSI method first narrows down the search space of a sought-after patent document by content search and the template matching technique then pins down the documents by exploiting the words-based template matching scheme by syntactic search. Compared with the synonymous search scheme by thesaurus dictionaries, the new method results in an improved overall retrieval efficiency of patent documents.</Paragraph>
  </Section>
class="xml-element"></Paper>