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<?xml version="1.0" standalone="yes"?>
<Paper uid="W06-2110">
  <Title>Automatic Identification of English Verb Particle Constructions using Linguistic Features</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a method for identifying token instances of verb particle constructions (VPCs) automatically, based on the output of the RASP parser. The proposed method pools together instances of VPCs and verb-PPs from the parser output and uses the sentential context of each such instance to differentiate VPCs from verb-PPs. We show our technique to perform at an F-score of 97.4% at identifying VPCs in Wall Street Journal and Brown Corpus data taken from the Penn Treebank. null</Paragraph>
  </Section>
class="xml-element"></Paper>
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