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<Paper uid="W04-1202">
  <Title>Using Argumentation to Retrieve Articles with Similar Citations from MEDLINE</Title>
  <Section position="8" start_page="12" end_page="12" type="concl">
    <SectionTitle>
5 Conclusion and Future work
</SectionTitle>
    <Paragraph position="0"> We have reported on the construction of an information retrieval engine tailored to search for documents with similar citations in MEDLINE collections. The tool retrieves similar documents by giving more weight to features located in PURPOSE and CONCLUSION segments. The RESULTS and METHODS argumentative moves are reported here as less useful for such a retrieval task. Evaluated on a citation benchmark, the system significantly improves retrieval effectiveness of a standard vector-space engine. In this context, it would be interesting to investigate how argumentation can be beneficial to perform ad hoc retrieval tasks in MEDLINE (Kayaalp et al., 2003).</Paragraph>
    <Paragraph position="1"> Evidently using citation information to build our benchmark raises some questions. Authors may refer to other work in many ways to benefit the tone of their argument. Specifically, there are two major citation contexts, one where an article is cited negatively or contrastively and one where an article is cited positively, or the authors state that their own work originates from the cited work. In this study we have not made a distinction between these contexts but we consider this as an avenue for building better representations of the cited articles in future work. Finally, we are now exploring the use of the tool to detect inconsistencies between articles. We hope to use citation and content analysis to identify articles containing novel views so as to expose differences in the consensus of the research area's intellectual focus. The idea is to retrieve documents having key citation similarity but show some dissimilarity regarding a given argumentative category.</Paragraph>
    <Paragraph position="2"> Finally, we have observed that citation networks in digital libraries are analogous to hyperlinks in web repositories. Consequently using web-inspired similarity measures may be beneficial for our purposes. Of particular interest in relation to argumentation, is the fact that citations networks, like web pages, are hierarchically nested graph with argumentative moves introducing intermediate levels (Bharat et al., 2001).</Paragraph>
  </Section>
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