<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-0209">
  <Title>Exploiting semantic information for manual anaphoric annotation in Cast3LB corpus</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> Cast3LB corpus is annotated (Navarro et al., 2003) at three linguistic levels: sentence level (syntactic), lexical level (semantic) and discourse level. At discourse level, it is annotated with anaphoric and coreferential information. In order to improve the time-consuming and tedious task of the manually annotation, a semiautomatic and interactive process is followed: first, an anaphora resolution system selects each anaphora and its antecedent from a list of candidates; then, the human annotator decides wether or not accept the suggestion.</Paragraph>
    <Paragraph position="1"> With this approach, the correctness of the anaphora resolution system is a key factor in the quest of an efficient annotation process. For this reason, we use the linguistic information of the previous annotation tasks (morphological, syntactic and, mainly, semantic information) to improve the anaphora resolution system. In this paper we will focus on the use of semantic information in the anaphora and coreferential manual annotation task.</Paragraph>
    <Paragraph position="2"> Next section presents the project overview and the three annotation levels. Following sections present the semantic annotation and the way it serves to the discourse annotations. Last section presents annotation tools used to annotate the corpus at semantic and coreferential level.</Paragraph>
  </Section>
class="xml-element"></Paper>