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A Lexical Functional Mapping Algorithm

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Advances in Artificial Intelligence (Canadian AI 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2338))

Abstract

Semantic interpretation is the process of mapping a syntactic structure to a context-independent meaning representation. An algorithm is presented which maps the f-structure produced by a Lexical-Functional Grammar parser to thematic roles. The mapping algorithm integrates Lexical Mapping Theory, Grimshaw’s theory of prominence, and other semantic theories. The algorithm uses selectional restrictions from WordNet to enforce semantic compatibility among constituents.

This research was performed while the first author was at The University of Western Ontario and was funded by NSERC Research Grant 0036853.

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References

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Author information

Authors and Affiliations

  1. IBM Canada, Toronto, Ontario, Canada

    Tamer S. Mahdi

  2. Cognitive Engineering Laboratory, Department of Computer Science, The University of Western Ontario, London, Ontario, Canada

    Robert E. Mercer

Authors
  1. Tamer S. Mahdi
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  2. Robert E. Mercer
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Editor information

Editors and Affiliations

  1. Computer Science, University of Waterloo, 200 University Ave.W., Waterloo, Ontario, Canada, N2L 3G1

    Robin Cohen

  2. IIT - e-Business, National Research Council, Incutech Brunswick, 2 Garland Court, Frederiction, New Brunswick, Canada, E3B 6C2

    Bruce Spencer

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© 2002 Springer-Verlag Berlin Heidelberg

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Mahdi, T.S., Mercer, R.E. (2002). A Lexical Functional Mapping Algorithm. In: Cohen, R., Spencer, B. (eds) Advances in Artificial Intelligence. Canadian AI 2002. Lecture Notes in Computer Science(), vol 2338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47922-8_25

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  • DOI: https://doi.org/10.1007/3-540-47922-8_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43724-6

  • Online ISBN: 978-3-540-47922-2

  • eBook Packages: Springer Book Archive

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