Kübler, Sandra.
Dependency Parsing [electronic resource] / by Sandra Kübler, Ryan McDonald, Joakim Nivre. - 1st ed. 2009. - XII, 115 p. online resource. - Synthesis Lectures on Human Language Technologies, 1947-4059 . - Synthesis Lectures on Human Language Technologies, .
Introduction -- Dependency Parsing -- Transition-Based Parsing -- Graph-Based Parsing -- Grammar-Based Parsing -- Evaluation -- Comparison -- Final Thoughts.
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.
9783031021312
10.1007/978-3-031-02131-2 doi
Artificial intelligence.
Natural language processing (Computer science).
Computational linguistics.
Artificial Intelligence.
Natural Language Processing (NLP).
Computational Linguistics.
Q334-342 TA347.A78
006.3
Dependency Parsing [electronic resource] / by Sandra Kübler, Ryan McDonald, Joakim Nivre. - 1st ed. 2009. - XII, 115 p. online resource. - Synthesis Lectures on Human Language Technologies, 1947-4059 . - Synthesis Lectures on Human Language Technologies, .
Introduction -- Dependency Parsing -- Transition-Based Parsing -- Graph-Based Parsing -- Grammar-Based Parsing -- Evaluation -- Comparison -- Final Thoughts.
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.
9783031021312
10.1007/978-3-031-02131-2 doi
Artificial intelligence.
Natural language processing (Computer science).
Computational linguistics.
Artificial Intelligence.
Natural Language Processing (NLP).
Computational Linguistics.
Q334-342 TA347.A78
006.3