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<Paper uid="E06-2026">
  <Title>Grammatical Role Labeling with Integer Linear Programming</Title>
  <Section position="8" start_page="189" end_page="189" type="relat">
    <SectionTitle>
7 Related Work
</SectionTitle>
    <Paragraph position="0"> ILP has been applied to various NLP problems, including semantic role labeling (Punyakanok et al., 2004), extraction of predicates from parsetrees (Klenner, 2005) and discourse ordering in generation (Althaus et al., 2004). (Roth and Yih, 2005) discuss how to utilize ILP with Conditional Random Fields.</Paragraph>
    <Paragraph position="1"> Grammatical relation labeling has been coped with in a couple of articles, e.g. (Buchholz, 1999). There, a cascaded model (of classifiers) has been proposed (using various tools around TIMBL). The f-measure (perfect test data) was 83.5%. However, the set of grammatical relations differs from the one we use, which makes it difficult to compare the results.</Paragraph>
  </Section>
class="xml-element"></Paper>