Semi-Supervised Dependency Parsing (Paperback, Softcover reprint of the original 1st ed. 2015)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	October 2016
First published:	2015
Authors:	Wenliang Chen • Min Zhang
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	144
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-981-10-1234-1
Categories:	Books > Language & Literature > Language & linguistics > Computational linguistics Promotions
LSN:	981-10-1234-2
Barcode:	9789811012341

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