[eBook] Semi-Supervised Dependency Parsing

[eBook] Semi-Supervised Dependency Parsing

Springer

Format: e-book DRM

ISBN: 9789812875525

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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.

Author: Chen, Wenliang
Number of Pages: 144
Language: ENG
Copyright Year: 2015
Remarks: This is a DRM-protected eBook delivered via an Access Code. The Access Code for redemption will be emailed within two working days after payment has been verified.


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