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<Paper uid="I05-2030">
  <Title>Opinion Extraction Using a Learning-Based Anaphora Resolution Technique</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple &lt;Subject, Attribute, Value&gt; , we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.</Paragraph>
  </Section>
class="xml-element"></Paper>