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Dependency Parsing
Sandra Kübler
Ryan McDonald
Joakim Nivre
出版
Springer Nature
, 2022-05-31
主題
Computers / Artificial Intelligence / General
Computers / Speech & Audio Processing
Language Arts & Disciplines / Linguistics / General
Computers / Information Technology
Computers / Artificial Intelligence / Natural Language Processing
ISBN
3031021312
9783031021312
URL
http://books.google.com.hk/books?id=n4hyEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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