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<Paper uid="W06-1516">
  <Title>SemTAG, the LORIA toolbox for TAG-based Parsing and Generation</Title>
  <Section position="7" start_page="119" end_page="119" type="concl">
    <SectionTitle>
7 Conclusion
</SectionTitle>
    <Paragraph position="0"> The LORIA toolbox provides an integrated environment for TAG based semantic processing: either to construct the semantic representation of a given sentence (parsing) or to generate a sentence verbalising a given semantic content (generation).</Paragraph>
    <Paragraph position="1"> Importantly, both the generator and the parsers use the same grammar (SEMFRAG) so that both tools can be used jointly to improve grammar precision. All the sentences outputted by the surface realiser should be parsed to have at least the semantic representation given by the test suite, and all parses of a sentence should be realised into at least the same sentence.</Paragraph>
    <Paragraph position="2"> Current and future work concentrates on developing an automated error mining environment for both parsing and generation; on extending the grammar coverage; on integrating further optimisations both in the parser (through parsing with factorised trees) and in the generator (through packing and accessibility filtering cf. (Carroll and Oepen, 2005); and on experimenting with different semantic construction strategies (Gardent and Parmentier, 2005).</Paragraph>
  </Section>
class="xml-element"></Paper>