<?xml version="1.0" standalone="yes"?>
<Paper uid="W03-1303">
  <Title>Using Domain-Specific Verbs for Term Classification</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we present an approach to term classification based on verb complementation patterns. The complementation patterns have been automatically learnt by combining information found in a corpus and an ontology, both belonging to the biomedical domain. The learning process is unsupervised and has been implemented as an iterative reasoning procedure based on a partial order relation induced by the domain-specific ontology.</Paragraph>
    <Paragraph position="1"> First, term recognition was performed by both looking up the dictionary of terms listed in the ontology and applying the C/NC-value method. Subsequently, domain-specific verbs were automatically identified in the corpus. Finally, the classes of terms typically selected as arguments for the considered verbs were induced from the corpus and the ontology.</Paragraph>
    <Paragraph position="2"> This information was used to classify newly recognised terms. The precision of the classification method reached 64%.</Paragraph>
  </Section>
class="xml-element"></Paper>