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<Paper uid="W06-0803">
  <Title>Extracting Key Phrases to Disambiguate Personal Name Queries in Web Search</Title>
  <Section position="9" start_page="23" end_page="23" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> We proposed and evaluated a key phrase extraction algorithm to disambiguate people with the same name on the Web. We represented each document with a term-entity model and used a contextual similarity metric to cluster the documents. We also proposed a novel approach to determine the number of namesakes. Our experiments with pseudo and naturally ambiguous names show a statistically significant improvement over the baseline method. We evaluated the key phrases extracted by the algorithm in a web search task. The web search task reveals that including the key phrases in the query considerably reduces ambiguity. In future, we plan to extend the proposed method to disambiguate other types of entities such as location names, product names and organization names.</Paragraph>
  </Section>
class="xml-element"></Paper>