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<Paper uid="H05-1113">
  <Title>Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pages 899-906, Vancouver, October 2005. c(c)2005 Association for Computational Linguistics Measuring the relative compositionality of verb-noun (V-N) collocations by integrating features</Title>
  <Section position="4" start_page="899" end_page="899" type="intro">
    <SectionTitle>
2 Basic Architecture
</SectionTitle>
    <Paragraph position="0"> Every V-N collocation is represented as a vector of features which are composed largely of various statistical measures. The values of these features for the V-N collocations are extracted from the British National Corpus. For example, the V-N collocation 'raise an eyebrow' can be represented as a0 Frequency = 271, Mutual Information = 8.43, Distributed frequency of object = 1456.29, etc.a1 . A SVM based ranking function uses these features to rank the V-N collocations based on their relative compositionality. These ranks are then compared with the human ranking.</Paragraph>
  </Section>
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