Semi-Supervised Dependency Parsing

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Reference & Language, Language Arts, Linguistics
Cover of the book Semi-Supervised Dependency Parsing by Wenliang Chen, Min Zhang, Springer Singapore
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Author: Wenliang Chen, Min Zhang ISBN: 9789812875525
Publisher: Springer Singapore Publication: July 16, 2015
Imprint: Springer Language: English
Author: Wenliang Chen, Min Zhang
ISBN: 9789812875525
Publisher: Springer Singapore
Publication: July 16, 2015
Imprint: Springer
Language: English

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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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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