Trends in Parsing Technology (Record no. 113635)

000 -LEADER
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001 - CONTROL NUMBER
control field 978-90-481-9352-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220084603.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789048193523
-- 978-90-481-9352-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-90-481-9352-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number P98-98.5
072 #7 - SUBJECT CATEGORY CODE
Subject category code CFX
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code LAN009000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM018000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 410.285
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bunt, Harry.
Relator term editor.
245 10 - TITLE STATEMENT
Title Trends in Parsing Technology
Medium [electronic resource] :
Remainder of title Dependency Parsing, Domain Adaptation, and Deep Parsing /
Statement of responsibility, etc edited by Harry Bunt, Paola Merlo, Joakim Nivre.
264 #1 -
-- Dordrecht :
-- Springer Netherlands :
-- Imprint: Springer,
-- 2010.
300 ## - PHYSICAL DESCRIPTION
Extent X, 298 p.
Other physical details online resource.
336 ## -
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Text, Speech and Language Technology,
International Standard Serial Number 1386-291X ;
Volume number/sequential designation 43
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Current Trends in Parsing Technology -- Single Malt or Blended? A Study in Multilingual Parser Optimization -- A Latent Variable Model for Generative Dependency Parsing -- Dependency Parsing and Domain Adaptation with Data-Driven LR Models and Parser Ensembles -- Dependency Parsing Using Global Features -- Dependency Parsing with Second-Order Feature Maps and Annotated Semantic Information -- Strictly Lexicalised Dependency Parsing -- Favor Short Dependencies: Parsing with Soft and Hard Constraints on Dependency Length -- Corrective Dependency Parsing -- Inducing Lexicalised PCFGs with Latent Heads -- Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy -- Are Very Large Context-Free Grammars Tractable? -- Efficiency in Unification-Based N-Best Parsing -- HPSG Parsing with a Supertagger -- Evaluating the Impact of Re-training a Lexical Disambiguation Model on Domain Adaptation of an HPSG Parser -- Semi-supervised Training of a Statistical Parser from Unlabeled Partially-Bracketed Data.
520 ## - SUMMARY, ETC.
Summary, etc Parsing technology is a central area of research in the automatic processing of human language. It is concerned with the decomposition of complex structures into their constituent parts, in particular with the methods, the tools and the software to parse automatically. Parsers are used in many application areas, such as information extraction from free text or speech, question answering, speech recognition and understanding, recommender systems, machine translation, and automatic summarization. New developments in the area of parsing technology are thus widely applicable. This book collects contributions from leading researchers in the area of natural language processing technology, describing their recent work and a range of new techniques and results. The book presents a state-of-the-art overview of current research in parsing tehcnologies with a focus on three important themes in the field today: dependency parsing, domain adaptation, and deep parsing. This book is the fourth in a line of such collections, and its breadth of coverage should make it suitable both as an overview of the state of the field for graduate students, and as a reference for established researchers in Computational Linguistics, Artificial Intelligence, Computer Science, Language Engineering, Information Science, and Cognitive Science. It will also be of interest to designers, developers, and advanced users of natural language processing systems, including applications such as spoken dialogue, text mining, multimodal human-computer interaction, and semantic web technology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Linguistics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Translators (Computer programs).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational linguistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Linguistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Linguistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Language Translation and Linguistics.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Merlo, Paola.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nivre, Joakim.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789048193516
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Text, Speech and Language Technology,
-- 1386-291X ;
Volume number/sequential designation 43
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-90-481-9352-3
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-- ZDB-2-SHU

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