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<Paper uid="W98-0701">
  <Title>I I I I I I 1 General Word Sense Disambiguation Method Based on a Full Sentential Context</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a new general supervised word sense disambiguation method based on a relatively small syntactically parsed and semantically tagged training corpus. The method exploits a full sentential context and all the explicit semantic relations in a sentence to identify the senses of all of that sentence's content words. In spite of a very small training corpus, we report an overall accuracy of 80.3% (85.7, 63.9, 83.6 and 86.5%, for nouns, verbs, adjectives and adverbs, respectively), which exceeds the accuracy of a statistical sense-frequency based semantic tagging, the only really applicable general disambiguating technique.</Paragraph>
  </Section>
class="xml-element"></Paper>