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Advanced applications of natural lan...

Rodrigues, Mario.

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Advanced applications of natural language processing for performing information extraction

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced applications of natural language processing for performing information extraction/ by Mario Rodrigues, Antonio Teixeira.
Author:	Rodrigues, Mario.
other author:	Teixeira, Antonio.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	viii, 75 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Data Gathering, Preparation and Enrichment -- Identifying things, relations, and semantizing data -- Extracting Relevant Information Using a Given Semantic -- Application Examples -- Conclusion.
Contained By:	Springer eBooks
Subject:	Natural language processing (Computer science) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-15563-0
ISBN:	9783319155630 (electronic bk.)

Advanced applications of natural language processing for performing information extraction
Rodrigues, Mario.

Advanced applications of natural language processing for performing information extraction[electronic resource] /by Mario Rodrigues, Antonio Teixeira. - Cham :Springer International Publishing :2015. - viii, 75 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Data Gathering, Preparation and Enrichment -- Identifying things, relations, and semantizing data -- Extracting Relevant Information Using a Given Semantic -- Application Examples -- Conclusion.

This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area. Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages. Describes a generic architecture that can learn how to extract information for a given application domain.

ISBN: 9783319155630 (electronic bk.)

Standard No.: 10.1007/978-3-319-15563-0doiSubjects--Topical Terms:

565309
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

Advanced applications of natural language processing for performing information extraction
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100 1 $a Rodrigues, Mario. $3 2153264
245 1 0 $a Advanced applications of natural language processing for performing information extraction $h [electronic resource] / $c by Mario Rodrigues, Antonio Teixeira.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a viii, 75 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Data Gathering, Preparation and Enrichment -- Identifying things, relations, and semantizing data -- Extracting Relevant Information Using a Given Semantic -- Application Examples -- Conclusion.
520 $a This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area. Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages. Describes a generic architecture that can learn how to extract information for a given application domain.
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650 1 4 $a Computer Science. $3 626642
650 2 4 $a Language Translation and Linguistics. $3 892561
650 2 4 $a Computational Linguistics. $3 893900
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Teixeira, Antonio. $3 923638
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-15563-0
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