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<Paper uid="P93-1033">
  <Title>AN EMPIRICAL STUDY ON THEMATIC KNOWLEDGE ACQUISITION BASED ON SYNTACTIC CLUES AND HEURISTICS</Title>
  <Section position="9" start_page="73548" end_page="73548" type="concl">
    <SectionTitle>
6. CONCLUSION
</SectionTitle>
    <Paragraph position="0"> Preliminary syntactic analysis could be achieved by many natural language processing systems. Toward semantic interpretation on input sentences, thematic lexical knowledge is needed. Although each lexicon may have its own idiosyncratic thematic requirements on arguments, there exist syntactic clues for hypothesizing the thematic roles of the arguments.</Paragraph>
    <Paragraph position="1"> Therefore, exploiting the information derived from syntactic analysis to acquire thematic knowledge becomes a plausible way to build an extensible thematic dictionary. In this paper, various syntactic clues are integrated to hypothesize thematic roles of arguments in training sentences. Heuristics-guided ambiguity resolution is invoked to collect extra discrimination information from the nainer or the corpus. As more syntactic resources become available, the method could upgrade the acquired knowledge from syntactic level to thematic level.</Paragraph>
  </Section>
class="xml-element"></Paper>