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<Paper uid="W00-0722">
  <Title>Minimal Commitment and Full Lexical Disambiguation: Balancing Rules and Hidden Markov Models</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we describe the construction of a part-of-speech tagger both for medical document retrieval purposes and XP extraction.</Paragraph>
    <Paragraph position="1"> Therefore we have designed a double system: for retrieval purposes, we rely on a rule-based architecture, called minimal commitment, which is likely to be completed by a data-driven tool (HMM) when full disambiguation is necessary.</Paragraph>
  </Section>
class="xml-element"></Paper>