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<Paper uid="A00-2043">
  <Title>An Empirical Assessment of Semantic Interpretation</Title>
  <Section position="7" start_page="332" end_page="333" type="concl">
    <SectionTitle>
5 Conclusions
</SectionTitle>
    <Paragraph position="0"> The evaluation of the quality and adequacy of semantic interpretation data is still in its infancy. Our approach which confronts semantic interpretation devices with a random sample of textual real-world data, without intentionally constraining the selection of these language data, is a real challenge for the proposed methodology and it is unique in its experimental rigor.</Paragraph>
    <Paragraph position="1"> However, our work is just a step in the right direction rather than giving a complete picture or allowing final conclusions. Two reasons may be given for the lack of such experiments. First, interest in the deeper conceptual aspects of text interpretation has ceased in the past years, with almost all efforts devoted to robust and shallow syntactic processing of large data sets. This also results in a lack of sophisticated semantic and conceptual specifications, in particular, for larger text analysis systems. Second, providing a gold standard for semantic interpretation is, in itself, an incredibly underconstrained and time-consuming process for which almost no resources have been allocated in the NLP community up to now.</Paragraph>
    <Paragraph position="2"> Acknowledgements. We want to thank the members of the ~-~ group for close cooperation. Martin Romacker is supported by a grant from DFG (Ha 2097/5-1).</Paragraph>
  </Section>
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