Dependency Parsing / by Sandra Kübler, Ryan McDonald, Joakim Nivre.

Format:

Book

Author/Creator:

Kübler, Sandra, Author.

McDonald, Ryan, Author.

Nivre, Joakim, Author.

Series:

Synthesis Lectures on Human Language Technologies, 1947-4059

Language:

English

Subjects (All):

Artificial intelligence.

Natural language processing (Computer science).

Computational linguistics.

Artificial Intelligence.

Natural Language Processing (NLP).

Computational Linguistics.

Local Subjects:

Artificial Intelligence.

Natural Language Processing (NLP).

Computational Linguistics.

Physical Description:

1 online resource (XII, 115 p.)

Edition:

1st ed. 2009.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2009.

Summary:

Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. This book gives a thorough introduction to the methods that are most widely used today. After an introduction to dependency grammar and dependency parsing, followed by a formal characterization of the dependency parsing problem, the book surveys the three major classes of parsing models that are in current use: transition-based, graph-based, and grammar-based models. It continues with a chapter on evaluation and one on the comparison of different methods, and it closes with a few words on current trends and future prospects of dependency parsing. The book presupposes a knowledge of basic concepts in linguistics and computer science, as well as some knowledge of parsing methods for constituency-based representations. Table of Contents: Introduction / Dependency Parsing / Transition-Based Parsing / Graph-Based Parsing / Grammar-Based Parsing / Evaluation / Comparison / Final Thoughts.

Contents:

Introduction

Dependency Parsing

Transition-Based Parsing

Graph-Based Parsing

Grammar-Based Parsing

Evaluation

Comparison

Final Thoughts.

ISBN:

9783031021312

3031021312