Learning Computational Grammars

John Nerbonne, Anja Belz, Nicola Cancedda, Hervé Déjean, James Hammerton, Rob Koeling, Stasinos Konstantopoulos, Miles Osborne, Franck Thollard, Erik Tjong Kim Sang

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

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
JournalProceedings of the Annual Meeting of the Association for Computational Linguistics
StatePublished - 2001
Externally publishedYes
EventACL 2001 5th Workshop on Computational Natural Language Learning, CoNLL 2001 - Toulouse, France
Duration: Jul 6 2001Jul 7 2001

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