Semi-Supervised Dependency Parsing

Chen, Wenliang; Zhang, Min

ISBN 10: 9812875514 ISBN 13: 9789812875518

Editorial: Springer, 2015

Idioma: Ingl�s

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Descripci�n

pp. 156.

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Detalles bibliogr�ficos

T�tulo: Semi-Supervised Dependency Parsing
Editor: Springer
Fecha de publicaci�n: 2015
Idioma: Ingl�s
ISBN 10: 9812875514
ISBN 13: 9789812875518
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

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.

De la contraportada

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.

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