<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-0828">
  <Title>TALP System for the English Lexical Sample Task</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> Regarding supervised Word Sense Disambiguation, each word can be considered as a different classification problem. This implies that each word has different feature models to describe its senses.</Paragraph>
    <Paragraph position="1"> We have proposed and tested a supervised system in which the examples are represented through a very rich and redundant set of features (using the information content coherently integrated within the Multilingual Central Repository of the MEANING project), and which performs a specialized selection of features and binarization process for each word.</Paragraph>
  </Section>
class="xml-element"></Paper>