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Wenliang Chen & Min Zhang 
Semi-Supervised Dependency Parsing 

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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.
€53.49
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Table des matières

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.

Langue Anglais ● Format PDF ● Pages 144 ● ISBN 9789812875525 ● Taille du fichier 3.7 MB ● Maison d’édition Springer Singapore ● Lieu Singapore ● Pays SG ● Publié 2015 ● Téléchargeable 24 mois ● Devise EUR ● ID 4454268 ● Protection contre la copie DRM sociale

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