Introduction to Linguistic Annotation and Text Analytics
eBook - PDF

Introduction to Linguistic Annotation and Text Analytics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Introduction to Linguistic Annotation and Text Analytics

Book details
Table of contents
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About This Book

Linguistic annotation and text analytics are active areas of research and development, with academic conferences and industry events such as the Linguistic Annotation Workshops and the annual Text Analytics Summits. This book provides a basic introduction to both fields, and aims to show that good linguistic annotations are the essential foundation for good text analytics. After briefly reviewing the basics of XML, with practical exercises illustrating in-line and stand-off annotations, a chapter is devoted to explaining the different levels of linguistic annotations. The reader is encouraged to create example annotations using the WordFreak linguistic annotation tool. The next chapter shows how annotations can be created automatically using statistical NLP tools, and compares two sets of tools, the OpenNLP and Stanford NLP tools. The second half of the book describes different annotation formats and gives practical examples of how to interchange annotations between different formats using XSLT transformations. The two main text analytics architectures, GATE and UIMA, are then described and compared, with practical exercises showing how to configure and customize them. The final chapter is an introduction to text analytics, describing the main applications and functions including named entity recognition, coreference resolution and information extraction, with practical examples using both open source and commercial tools. Copies of the example files, scripts, and stylesheets used in the book are available from the companion website, located at the book website. Table of Contents: Working with XML / Linguistic Annotation / Using Statistical NLP Tools / Annotation Interchange / Annotation Architectures / Text Analytics

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Yes, you can access Introduction to Linguistic Annotation and Text Analytics by Graham Wilcock in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031021329
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Preface
  6. Working with XML
  7. Linguistic Annotation
  8. Using Statistical NLP Tools
  9. Annotation Interchange
  10. Annotation Architectures
  11. Text Analytics
  12. Bibliography