Semi-Supervised Dependency Parsing

• Main Authors: Chen, Wenliang (Author), Zhang, Min (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2015.
• Subjects: Linguistics.; Computational linguistics.; Computational Linguistics.

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...

Table of Contents:

• 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.