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<Paper uid="W00-0722">
  <Title>Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models</Title>
  <Section position="6" start_page="113" end_page="113" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> We have presented a rule-based tagger for electronic medical records. The first target of this tool is the disambiguation for IR purposes, therefore we decided to design a system without any heuristics. As second target, the system will be used for conducting NP extraction tasks and shallow parsing: the system must be able to provide a fully disambiguated output; therefore we used the HMM tool for completing the disambiguation task.</Paragraph>
  </Section>
class="xml-element"></Paper>