Cantitate/Preț
Produs

Dependency Parsing: Synthesis Lectures on Human Language Technologies

Autor Sandra Kübler, Ryan McDonald, Joakim Nivre
en Limba Engleză Paperback – 31 dec 2008
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
Citește tot Restrânge

Din seria Synthesis Lectures on Human Language Technologies

Preț: 21610 lei

Preț vechi: 27012 lei
-20% Nou

Puncte Express: 324

Preț estimativ în valută:
4136 4363$ 3447£

Carte tipărită la comandă

Livrare economică 02-16 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031010033
ISBN-10: 3031010035
Ilustrații: XII, 115 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.23 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Human Language Technologies

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Dependency Parsing.- Transition-Based Parsing.- Graph-Based Parsing.- Grammar-Based Parsing.- Evaluation.- Comparison.- Final Thoughts.

Notă biografică

Sandra Kübler is Assistant Professor of Computational Linguistics at Indiana University, where she has worked since 2006. She received her M.A. from the University of Trier and her Ph.D. in Computational Linguistics from the University of Tubingen. Sandra's research focuses on data-driven methods for syntactic and semantic processing. For her dissertation work, she developed a novel memory-based approach to parsing spontaneous speech. This parser was integrated into the Verbmobil speech-to-speech translation system. Sandra is currently interested in parsing German, a non-configurational language, for which several treebanks are available. Her research focuses on comparisons between constituent-based and dependency-based parsing and comparisons of how different annotation schemes influence parsing results.