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<Paper uid="W04-2008">
  <Title>An Algorithm for Open Text Semantic Parsing</Title>
  <Section position="9" start_page="7" end_page="7" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed an algorithm for open text shallow semantic parsing. The algorithm has the capability to analyze the semantic structure of a sentence, and show how the meaning of the entire sentence is composed of smaller semantic units, linked by various semantic relations. The parsing process utilizes linguistic knowledge, consisting of rules derived from a frame dataset (FrameNet), a semantic network (WordNet), as well as hand-coded rules of syntax-semantics mappings, which encode natural selectional restrictions. Parsing semantic structures allows semantic units and constituents to be accessed and processed in a more meaningful way than syntactic parsing, and enables higher-level text understanding applications. We believe that the semantic parser will prove useful for a range of language processing applications that require knowledge of text meaning, including word sense disambiguation, information retrieval, question answering, machine translation, and others.</Paragraph>
  </Section>
class="xml-element"></Paper>