<?xml version="1.0" standalone="yes"?>
<Paper uid="W06-2927">
  <Title>Multi-lingual Dependency Parsing at NAIST</Title>
  <Section position="4" start_page="0" end_page="191" type="intro">
    <SectionTitle>
2 System Description
</SectionTitle>
    <Paragraph position="0"> The main part of our dependency parser is based on Nivre's algorithm (Nivre, 2004), in which the dependency relations are constructed by a bottom-up deterministic schema. While Nivre's method uses memory-based learning to estimate the dependency attachment and the label, we use SVMs to estimate the attachment and MaxEnt to estimate Fig. 1 The architecture of our parser  The child of the position t-1 position n position n+1position n+2position t A feature: the distance between the position t and n</Paragraph>
  </Section>
class="xml-element"></Paper>