Advanced Applications of Natural Language Processing for Performing Information Extraction

Nonfiction, Reference & Language, Language Arts, Linguistics, Computers, Advanced Computing, General Computing
Cover of the book Advanced Applications of Natural Language Processing for Performing Information Extraction by Mário Rodrigues, António Teixeira, Springer International Publishing
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Author: Mário Rodrigues, António Teixeira ISBN: 9783319155630
Publisher: Springer International Publishing Publication: May 6, 2015
Imprint: Springer Language: English
Author: Mário Rodrigues, António Teixeira
ISBN: 9783319155630
Publisher: Springer International Publishing
Publication: May 6, 2015
Imprint: Springer
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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