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<Paper uid="W00-0741">
  <Title>Learning from Parsed Sentences with INTHELEX</Title>
  <Section position="6" start_page="197" end_page="197" type="concl">
    <SectionTitle>
4 Conclusions &amp; Future Work
</SectionTitle>
    <Paragraph position="0"> We have addressed the problem of learning logic theories for information extraction so to benefit by the semantic interpretation provided by a logical approach. This has required structured sentences in a logic representation on which to run our learning algorithms. Hence, we needed a parser to produce structured representations from raw unstructured text. Though many techniques have been developed for English, they cannot be applied to other languages, such as Italian, because of the different grammatical structure. This has led us to develop a prototypical Italian language parser, as a pre-processor in order to obtain the structured representation of sentences needed for the symbolic learner to work.</Paragraph>
    <Paragraph position="1"> Future work will concern a more extensive experimentation, an empirical evaluation of our approach, and application of the same kind of experiments on English parsed texts. If good results will be obtained, it is possible thinking to carry out experiments that take advantage also from the structure of semi-structured documents. Indeed, we are involved in the project CDL (Esposito et al., 1998; Costabile et al., 1999), that could profit by this kind of techniques as regard semantic indexing of the stored documents (cf. (Chanod, 1999)).</Paragraph>
  </Section>
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