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<Paper uid="W04-0832">
  <Title>SENSEVAL Automatic Labeling of Semantic Roles using Maximum Entropy Models</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> As a task in SensEval-3, Automatic Labeling of Semantic Roles is to identify frame elements within a sentence and tag them with appropriate semantic roles given a sentence, a target word and its frame. We apply Maximum Entropy classification with feature sets of syntactic patterns from parse trees and officially attain 80.2% precision and 65.4% recall. When the frame element boundaries are given, the system performs 86.7% precision and 85.8% recall.</Paragraph>
  </Section>
class="xml-element"></Paper>