<?xml version="1.0" standalone="yes"?>
<Paper uid="W05-0635">
  <Title>Semantic Role Labeling Using Complete Syntactic Analysis</Title>
  <Section position="3" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> Most current semantic role labeling (SRL) approaches can be classified in one of two classes: approaches that take advantage of complete syntactic analysis of text, pioneered by (Gildea and Jurafsky, 2002), and approaches that use partial syntactic analysis, championed by the previous CoNLL shared task evaluations (Carreras and M`arquez, 2004).</Paragraph>
    <Paragraph position="1"> However, to the authors' knowledge, a clear analysis of the benefits of using full syntactic analysis versus partial analysis is not yet available. On one hand, the additional information provided by complete syntax should intuitively be useful. But, on the other hand, the state-of-the-art of full parsing is known to be less robust and perform worse than the tools used for partial syntactic analysis, which would decrease the quality of the information provided. The work presented in this paper contributes to this analysis by introducing a model that is entirely based on the full syntactic analysis of text, generated by a real-world parser.</Paragraph>
  </Section>
class="xml-element"></Paper>