Dependency Parsing

丛 书 名：Synthesis Lectures on Human Language Technologies

版本说明：1

作     者：Sandra Kübler Ryan McDonald Joakim Nivre 

I S B N：(纸本) 9783031010033 

出 版 社：Springer Cham 

出 版 年：1000年

页      数：XII, 115页

主 题 词：Artificial Intelligence Natural Language Processing (NLP) Computational Linguistics 

摘      要：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