Learning Computational Grammars

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dc.creatorNerbonne, John
dc.creatorBelz, Anja
dc.creatorCancedda, Nicola
dc.creatorDejean, Herve
dc.creatorHammerton, James
dc.creatorKoeling, Rob
dc.creatorKonstantopoulos, Stasinos
dc.creatorOsborne, Miles
dc.creatorThollard, Franck
dc.creatorSang, Erik F. Tjong Kim
dc.date2001-07-15
dc.date.accessioned2026-07-07T03:17:20Z
dc.date.available2026-07-07T03:17:20Z
dc.descriptionThis 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.
dc.identifierhttps://arxiv.org/abs/cs/0107017
dc.identifierhttp://arxiv.org/abs/cs/0107017
dc.identifierIn: Walter Daelemans and Remi Zajac (eds.), Proceedings of CoNLL-2001, Toulouse, France, 2001, pp. 97-104
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30689
dc.subjectComputation and Language
dc.subjectI.2.7
dc.titleLearning Computational Grammars
dc.typetext

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