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<Paper uid="W04-1108">
  <Title>Combining Neural Networks and Statistics for Chinese Word sense disambiguation</Title>
  <Section position="2" start_page="0" end_page="0" type="intro">
    <SectionTitle>
1 Introduction
</SectionTitle>
    <Paragraph position="0"> It is general that one word with many senses in natural language. According statistics, there are about 42% ambiguous words in Chinese corpus (Lu, 2001). Word sense disambiguation (WSD) is a method to determine the sense of ambiguous word given the context circumstance.</Paragraph>
    <Paragraph position="1"> WSD, a long-standing problem in NLP, has been a very active research topic,, which can be well applied in many NLP systems, such as Information Retrieval, Text Mining, Machine Translation, Text</Paragraph>
  </Section>
class="xml-element"></Paper>