Semi-Supervised Dependency Parsing

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Éditeur :

Springer


Paru le : 2015-07-16

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Description
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.
Pages
144 pages
Collection
n.c
Parution
2015-07-16
Marque
Springer
EAN papier
9789812875518
EAN PDF
9789812875525

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
3492 Ko
Prix
52,74 €
EAN EPUB
9789812875525

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
1464 Ko
Prix
52,74 €

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