Learning Computational Grammars

J. Nerbonne, A. Belz, N. Cancedda, H. Dejean, J. Hammerton, R. Koeling, S. Konstantopoulos, M. Osborne, F. Thollard, E.F. Tjong Kim Sang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Abstract

    This paper reports on the LEARNING COMPUTATIONAL GRAMMARS (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable for computational use. We were interested in a more systematic survey to understand the relevance of many factors to the success of learning, esp. the availability of annotated data, the kind of dependencies in the data, and the availability of knowledge bases (grammars). We focused on syntax, esp. noun phrase (NP) syntax.
    Original languageEnglish
    Title of host publicationProceedings of CoNLL-2001
    EditorsW. Daelemans, R. Zajac
    Place of PublicationNew Brunswick, NJ
    PublisherACL
    Pages97-104
    Number of pages8
    Publication statusPublished - 2001

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  • Cite this

    Nerbonne, J., Belz, A., Cancedda, N., Dejean, H., Hammerton, J., Koeling, R., Konstantopoulos, S., Osborne, M., Thollard, F., & Tjong Kim Sang, E. F. (2001). Learning Computational Grammars. In W. Daelemans, & R. Zajac (Eds.), Proceedings of CoNLL-2001 (pp. 97-104). ACL.