Overview
- 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
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (6 chapters)
Keywords
About this book
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
Authors and Affiliations
Bibliographic Information
Book Title: Advanced Applications of Natural Language Processing for Performing Information Extraction
Authors: Mário Rodrigues, António Teixeira
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-3-319-15563-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Authors 2015
Softcover ISBN: 978-3-319-15562-3Published: 27 May 2015
eBook ISBN: 978-3-319-15563-0Published: 06 May 2015
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: VIII, 75
Number of Illustrations: 11 b/w illustrations, 9 illustrations in colour
Topics: Natural Language Processing (NLP), Computational Linguistics, Signal, Image and Speech Processing