Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models

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Bibliographic Details
Main Authors: Stephen Clark, James R. Curran
Format: Article
Language:English
Published: The MIT Press 2021-03-01
Series:Computational Linguistics
Online Access:http://dx.doi.org/10.1162/coli.2007.33.4.493
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author Stephen Clark
James R. Curran
author_facet Stephen Clark
James R. Curran
author_sort Stephen Clark
collection DOAJ
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publishDate 2021-03-01
publisher The MIT Press
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series Computational Linguistics
spelling doaj-art-d36128afeaa64feeaa9eac967c786d492025-08-20T01:55:48ZengThe MIT PressComputational Linguistics1530-93122021-03-0133410.1162/coli.2007.33.4.493Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear ModelsStephen ClarkJames R. Curranhttp://dx.doi.org/10.1162/coli.2007.33.4.493
spellingShingle Stephen Clark
James R. Curran
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Computational Linguistics
title Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
title_full Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
title_fullStr Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
title_full_unstemmed Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
title_short Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
title_sort wide coverage efficient statistical parsing with ccg and log linear models
url http://dx.doi.org/10.1162/coli.2007.33.4.493
work_keys_str_mv AT stephenclark widecoverageefficientstatisticalparsingwithccgandloglinearmodels
AT jamesrcurran widecoverageefficientstatisticalparsingwithccgandloglinearmodels