Kübler, Sandra. <br/><br/>
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, .
<br/><br/>Introduction -- Dependency Parsing -- Transition-Based Parsing -- Graph-Based Parsing -- Grammar-Based Parsing -- Evaluation -- Comparison -- Final Thoughts. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031021312 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-02131-2  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Natural language processing (Computer science).<br/>Computational linguistics.<br/>Artificial Intelligence.<br/>Natural Language Processing (NLP).<br/>Computational Linguistics.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3