Dependency Parsing

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 fo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kübler, Sandra (Autor), McDonald, Ryan (Autor), Nivre, Joakim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Synthesis Lectures on Human Language Technologies,
Temas:
Artificial intelligence.
Natural language processing (Computer science).
Computational linguistics.
Artificial Intelligence.
Natural Language Processing (NLP).
Computational Linguistics.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Dependency Parsing  |h [electronic resource] /  |c by Sandra Kübler, Ryan McDonald, Joakim Nivre. 
250 |a 1st ed. 2009. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2009. 
300 |a XII, 115 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Synthesis Lectures on Human Language Technologies,  |x 1947-4059 
505 0 |a Introduction -- Dependency Parsing -- Transition-Based Parsing -- Graph-Based Parsing -- Grammar-Based Parsing -- Evaluation -- Comparison -- Final Thoughts. 
520 |a 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. 
650 0 |a Artificial intelligence. 
650 0 |a Natural language processing (Computer science). 
650 0 |a Computational linguistics. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Natural Language Processing (NLP). 
650 2 4 |a Computational Linguistics. 
700 1 |a McDonald, Ryan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Nivre, Joakim.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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776 0 8 |i Printed edition:  |z 9783031010033 
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830 0 |a Synthesis Lectures on Human Language Technologies,  |x 1947-4059 
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