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<Paper uid="W06-1618">
  <Title>Sydney, July 2006. c(c)2006 Association for Computational Linguistics Identification of Event Mentions and their Semantic Class</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Complex tasks like question answering need to be able to identify events in text and the relations among those events. We show that this event identification task and a related task, identifying the semantic class of these events, can both be formulated as classification problems in a word-chunking paradigm. We introduce a variety of linguistically motivated features for this task and then train a system that is able to identify events with a precision of 82% and a recall of 71%. We then show a variety of analyses of this model, and their implications for the event identification task.</Paragraph>
  </Section>
class="xml-element"></Paper>