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<Paper uid="W04-1906">
  <Title>Corpus-based Induction of an LFG Syntax-Semantics Interface for Frame Semantic Processing</Title>
  <Section position="7" start_page="75" end_page="75" type="concl">
    <SectionTitle>
6 Summary and Future Directions
</SectionTitle>
    <Paragraph position="0"> We presented a method for corpus-based induction of an LFG syntax-semantics interface for frame semantic processing. We port frame annotations from a manually annotated corpus to an LFG parsing architecture that can be used to process unparsed text.</Paragraph>
    <Paragraph position="1"> We model frame semantic annotations in an LFG projection architecture, including phenomena that involve non-isomorphic mappings between levels.</Paragraph>
    <Paragraph position="2"> In future work we will train stochastic models for disambiguation of the assigned frame semantic structures. We are especially interested in exploring the potential of deeper, functional syntactic analyses for frame assignment, in conjunction with additional semantic knowledge (e.g. word senses, named entities). We will set up a bootstrapping cycle for learning increasingly refined stochastic models from growing training corpora, using semi-supervised learning methods. We will explore multi-lingual aspects of frame assignment, using English FrameNet data and an English LFG grammar with comparable f-structure output. Finally, we will investigate how similar methods can be applied to syntactic frameworks such as HPSG, which already embody a level of semantic representation.</Paragraph>
    <Paragraph position="3"> Acknowledgements We thank the IMS Stuttgart for allowing us to use the German LFG grammar. Special thanks go to Martin Forst who provided us with the TIGER-LFG corpus and added special features to support our work. Finally, thanks go to Dick Crouch who greatly enhanced the transfer system.</Paragraph>
  </Section>
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