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Inductive Dependency Parsing
This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-d...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Dordrecht :
Springer Netherlands : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Text, Speech and Language Technology ;
34 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 100 | 1 | |a Nivre, Joakim. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Inductive Dependency Parsing |h [electronic resource] / |c by Joakim Nivre. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Dordrecht : |b Springer Netherlands : |b Imprint: Springer, |c 2006. | |
| 300 | |a XII, 212 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Text, Speech and Language Technology ; |v 34 | |
| 505 | 0 | |a Natural Language Parsing -- Dependency Parsing -- Inductive Dependency Parsing -- Treebank Parsing -- Conclusion. | |
| 520 | |a This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More precisely, it is based on a deterministic parsing algorithm in combination with inductive machine learning to predict the next parser action. The book includes a theoretical analysis of all central models and algorithms, as well as a thorough empirical evaluation of memory-based dependency parsing, using data from Swedish and English. Offering the reader a one-stop reference to dependency-based parsing of natural language, it is intended for researchers and system developers in the language technology field, and is also suited for graduate or advanced undergraduate education. | ||
| 650 | 0 | |a Natural language processing (Computer science). | |
| 650 | 0 | |a Linguistics. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Digital humanities. | |
| 650 | 0 | |a Computational linguistics. | |
| 650 | 0 | |a Grammar, Comparative and general-Syntax. | |
| 650 | 1 | 4 | |a Natural Language Processing (NLP). |
| 650 | 2 | 4 | |a Linguistics. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Digital Humanities. |
| 650 | 2 | 4 | |a Computational Linguistics. |
| 650 | 2 | 4 | |a Syntax. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789048172184 |
| 776 | 0 | 8 | |i Printed edition: |z 9789048109012 |
| 776 | 0 | 8 | |i Printed edition: |z 9781402048883 |
| 830 | 0 | |a Text, Speech and Language Technology ; |v 34 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/1-4020-4889-0 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||