Learning Computational Grammars

John Nerbonne; Anja Belz; Nicola Cancedda; Herve Dejean; James Hammerton; Rob Koeling; Stasinos Konstantopoulos; Miles Osborne; Franck Thollard; Erik F. Tjong Kim Sang

arXiv · cs/0107017

Learning Computational Grammars

John Nerbonne·Anja Belz·Nicola Cancedda·Herve Dejean·James Hammerton·Rob Koeling·Stasinos Konstantopoulos·Miles Osborne·Franck Thollard·Erik F. Tjong Kim Sang

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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.

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BibTeX RIS

John Nerbonne, Anja Belz, Nicola Cancedda, Herve Dejean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik F. Tjong Kim Sang. 2001-07-15. Learning Computational Grammars. https://arxiv.org/abs/cs/0107017

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