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

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 journal › Conference article › peer-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 language	English
Journal	Proceedings of the Annual Meeting of the Association for Computational Linguistics
State	Published - 2001
Event	2001 5th Workshop on Computational Natural Language Learning, CoNLL 2001 - Toulouse, France Duration: Jul 6 2001 → Jul 7 2001

Cite this

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title = "Learning Computational Grammars",

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.",

author = "John Nerbonne and Anja Belz and Nicola Cancedda and Herv{\'e} D{\'e}jean and James Hammerton and Rob Koeling and Stasinos Konstantopoulos and Miles Osborne and Franck Thollard and Sang, \{Erik Tjong Kim\}",

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year = "2001",

language = "Ingl{\'e}s",

journal = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",

issn = "0736-587X",

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TY - JOUR

T1 - Learning Computational Grammars

AU - Nerbonne, John

AU - Belz, Anja

AU - Cancedda, Nicola

AU - Déjean, Hervé

AU - Hammerton, James

AU - Koeling, Rob

AU - Konstantopoulos, Stasinos

AU - Osborne, Miles

AU - Thollard, Franck

AU - Sang, Erik Tjong Kim

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85149133244

M3 - Artículo de la conferencia

AN - SCOPUS:85149133244

SN - 0736-587X

JO - Proceedings of the Annual Meeting of the Association for Computational Linguistics

JF - Proceedings of the Annual Meeting of the Association for Computational Linguistics

T2 - 2001 5th Workshop on Computational Natural Language Learning, CoNLL 2001

Y2 - 6 July 2001 through 7 July 2001

ER -

Learning Computational Grammars

Abstract

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