<?xml version="1.0" standalone="yes"?>
<Paper uid="W06-1202">
  <Title>Measuring MWE Compositionality Using Semantic Annotation</Title>
  <Section position="10" start_page="10" end_page="10" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, we explored an algorithm based on a semantic lexicon for automatically measuring the compositionality of MWEs. In our evaluation, the output of this algorithm showed moderate correlation with a manual ranking. We claim that semantic lexical resources provide another approach for automatically measuring MWE compositionality in addition to the existing statistical algorithms. Although our results are not yet conclusive due to the moderate scale of the test data, our evaluation demonstrates the potential of lexicon-based approaches for the task of compositional analysis. We foresee, by combining our approach with statistical algorithms, that further improvement can be expected. null</Paragraph>
  </Section>
class="xml-element"></Paper>