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<Paper uid="C02-1159">
  <Title>Extending A Broad-Coverage Parser for a General NLP Toolkit</Title>
  <Section position="8" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusions and Future Work
</SectionTitle>
    <Paragraph position="0"> In this paper we described a parser that extends a broad-coverage parser, Minipar, with a domain adaptable shallow parser in order to achieve generality and higher accuracy at the same time. This parser is an important component of a general NLP Toolkit, which helps programmers quickly develop an NLP front end that handles natural language input from their end users. We tested the parser on 200 sentences from our corpus and the result shows significant improvement over using Minipar alone.</Paragraph>
    <Paragraph position="1"> Future work includes improving the efficiency and accuracy of the shallow parser. Also, we will test the parser on a different domain to see how much work is required to switch to a new domain.</Paragraph>
    <Paragraph position="2"> Is the sentence passive? Is the SP tree empty? Is the SP tree correct? Adding the sentence type and subject of the MP tree to  sentence type as NP? Are the verb tags in the two trees inconsistent? Are there unequal number of verb tags in the trees?</Paragraph>
  </Section>
class="xml-element"></Paper>