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<Paper uid="W99-0201">
  <Title>Cross-Document Event Coreference: Annotations, Experiments, and Observations Amit Bagga General Electric Company CRD</Title>
  <Section position="8" start_page="6" end_page="6" type="concl">
    <SectionTitle>
8 Conclusions
</SectionTitle>
    <Paragraph position="0"> We have shown that it is possible to extend our earlier work with cross document person reference to include cross document event reference. This is achieved by using the vector space model to form equivalence classes of &amp;quot;summaries&amp;quot; about the events in question. These summaries are generated by including sentences that have coreference into the core event sentence as well as sentences that fit within a synonymy class for the event in question. Our results are encouraging with performance ranging from 45% f-score to 90% f-score. We also have established that human annotators agree on cross document event reference around 95% of the time.</Paragraph>
  </Section>
class="xml-element"></Paper>