Semi-Supervised Dependency Parsing

Chen, Wenliang, Zhang, Min

ISBN 10: 9812875514 ISBN 13: 9789812875518

Edit� par Springer, 2015

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Synopsis :

1 Introduction.- 2 Dependency Parsing Models.- 3 Overview of Semi-supervised Dependency Parsing Approaches.- 4 Training with Auto-parsed Whole Trees.- 5 Training with Lexical Information.- 6 Training with Bilexical Dependencies.- 7 Training with Subtree Structures.- 8 Training with Dependency Language Models.- 9 Training with Meta Features.- 10 Closing Remarks.

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Titre : Semi-Supervised Dependency Parsing
�diteur : Springer
Date d'�dition : 2015
Reliure : Hardcover
Etat : Like New
Type de livre : book

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Semi-Supervised Dependency Parsing

Min Zhang, Wenliang Chen

Edit� par Springer Nature Singapore, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: B�cher | This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing. N� de r�f. du vendeur 25558522/12

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Semi-Supervised Dependency Parsing.

Chen, W. et al. (Eds.)

Edit� par Singapore, Springer., 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

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144 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. N� de r�f. du vendeur 3301CB

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Semi-Supervised Dependency Parsing

Wenliang Chen|Min Zhang

Edit� par Springer Singapore, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive overview of semi-supervised approaches to dependency parsingBridges the gap between small human-annotated training data and huge raw data for dependency parsingExplains why semi-supervised approaches are well suited. N� de r�f. du vendeur 31548588

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Semi-Supervised Dependency Parsing

Min Zhang (u. a.)

Edit� par Springer, 2015

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Semi-Supervised Dependency Parsing

Chen, Wenliang; Zhang, Min

Edit� par Springer, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

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Semi-Supervised Dependency Parsing

Min Zhang

Edit� par Springer Nature Singapore, Springer Nature Singapore Jul 2015, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. Neuware -This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 152 pp. Englisch. N� de r�f. du vendeur 9789812875518

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Semi-Supervised Dependency Parsing

Min Zhang

Edit� par Springer Nature Singapore Jul 2015, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing. 152 pp. Englisch. N� de r�f. du vendeur 9789812875518

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Semi-Supervised Dependency Parsing

Min Zhang

Edit� par Springer Nature Singapore, Springer, 2015

ISBN 10 : 9812875514 ISBN 13 : 9789812875518

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a comprehensive overview of semi-supervised approaches to dependency parsing. Having become increasingly popular in recent years, one of the main reasons for their success is that they can make use of large unlabeled data together with relatively small labeled data and have shown their advantages in the context of dependency parsing for many languages. Various semi-supervised dependency parsing approaches have been proposed in recent works which utilize different types of information gleaned from unlabeled data. The book offers readers a comprehensive introduction to these approaches, making it ideally suited as a textbook for advanced undergraduate and graduate students and researchers in the fields of syntactic parsing and natural language processing. N� de r�f. du vendeur 9789812875518

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