<?xml version="1.0" standalone="yes"?>
<Paper uid="P96-1003">
  <Title>Noun-Phrase Analysis in Unrestricted Text for Information Retrieval</Title>
  <Section position="11" start_page="23" end_page="23" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> The notion of association-based parsing dates at least from (Marcus, 1980) and has been explored again recently by a number of researchers. TM The method we have developed differs from previous work in that it uses linguistic heuristics and locality scoring along with corpus statistics to generate phrase associations.</Paragraph>
    <Paragraph position="1"> The experiment contrasting the PES with baseline processing in a commercial IR system demonstrates a direct, positive effect of the use of lexical atoms, subphrases, and other pharase associations across simplex NPs. We believe the use of N-P-substructure analysis can lead to more effective information management, including more precise IR, text summarization, and concept clustering. Our future work will explore such applications of the techniques we have described in this paper.</Paragraph>
  </Section>
class="xml-element"></Paper>