Advanced Applications of Natural Language Processing for Performing Information Extraction

  • Mário Rodrigues
  • António Teixeira

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Mário Rodrigues, António Teixeira
    Pages 1-11
  3. Mário Rodrigues, António Teixeira
    Pages 13-26
  4. Mário Rodrigues, António Teixeira
    Pages 27-36
  5. Mário Rodrigues, António Teixeira
    Pages 37-50
  6. Mário Rodrigues, António Teixeira
    Pages 51-69
  7. Mário Rodrigues, António Teixeira
    Pages 71-72
  8. Back Matter
    Pages 73-75

About this book

Introduction

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

Keywords

Automatic Translation Comprehension of Textual Content Human and Natural Language Input Information Extraction Interaction Between Computers and Human Language Language Processing Natural Language Processing Natural Language Texts

Authors and affiliations

  • Mário Rodrigues
    • 1
  • António Teixeira
    • 2
  1. 1.ESTGA / IEETAUniversity of AveiroPortugal
  2. 2.DETI / IEETAUniversity of AveiroPortugal

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-15563-0
  • Copyright Information The Authors 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-15562-3
  • Online ISBN 978-3-319-15563-0
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book
Industry Sectors
Telecommunications
IT & Software