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<Paper uid="N04-3006">
  <Title>Open Text Semantic Parsing Using FrameNet and WordNet</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
7 Conclusions
</SectionTitle>
    <Paragraph position="0"> We described a rule-based approach to open text semantic parsing. The semantic parser 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 relies on rules derived from a frame dataset (FrameNet) and a semantic network (WordNet). 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 extraction, question answering, machine translation, and others.</Paragraph>
  </Section>
class="xml-element"></Paper>