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Graph-based Natural Language Processing and Information Retrieval / (Record no. 37780)

MARC details
000 -LEADER
fixed length control field 02422nam a22003377a 4500
001 - CONTROL NUMBER
control field sulb-eb0016342
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160405135334.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 101011s2011||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780511976247 (ebook)
Canceled/invalid ISBN 9780521896139 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
Modifying agency BD-SySUS
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.N38
Item number M53 2011
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.4/37
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mihalcea, Rada,
Relator term author.
245 10 - TITLE STATEMENT
Title Graph-based Natural Language Processing and Information Retrieval /
Statement of responsibility, etc. Rada Mihalcea, Dragomir Radev.
246 3# - VARYING FORM OF TITLE
Title proper/short title Graph-based Natural Language Processing & Information Retrieval
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2011.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (202 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 04 Apr 2016).
520 ## - SUMMARY, ETC.
Summary, etc. Graph theory and the fields of natural language processing and information retrieval are well-studied disciplines. Traditionally, these areas have been perceived as distinct, with different algorithms, different applications and different potential end-users. However, recent research has shown that these disciplines are intimately connected, with a large variety of natural language processing and information retrieval applications finding efficient solutions within graph-theoretical frameworks. This book extensively covers the use of graph-based algorithms for natural language processing and information retrieval. It brings together topics as diverse as lexical semantics, text summarization, text mining, ontology construction, text classification and information retrieval, which are connected by the common underlying theme of the use of graph-theoretical methods for text and information processing tasks. Readers will come away with a firm understanding of the major methods and applications in natural language processing and information retrieval that rely on graph-based representations and algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Natural language processing (Computer science)
Topical term or geographic name as entry element Graphical user interfaces (Computer systems)
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Radev, Dragomir,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9780521896139
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1017/CBO9780511976247">http://dx.doi.org/10.1017/CBO9780511976247</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type

No items available.