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Natural Language Annotation For Machine Learning: A Guide To Corpus-Building For Applications - Research Book

Natural Language Annotation For Machine Learning: A Guide To Corpus-Building For Applications - Research Book

Best Research Book in Natural Language Annotation For Machine Learning: A Guide To Corpus-Building For Applications

Author(s) Name:   James Pustejovsky, Amber Stubbs

About the Book:

   Create your own natural language training corpus for machine learning. Whether youre working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You dont need any programming or linguistics experience to get started.

Table of Contents

  1. The Basics
  2. Defining Your Goal and Dataset
  3. Corpus Analytics
  4. Building Your Model and Specification
  5. Applying and Adopting Annotation Standards
  6. Annotation and Adjudication
  7. Training: Machine Learning
  8. Testing and Evaluation
  9. Revising and Reporting
  10. Annotation: TimeML
  11. Automatic Annotation: Generating TimeML
  12. Afterword: The Future of Annotation

ISBN:  9781449306663

Publisher:  O Reilly Media, Inc Publisher

Year of Publication:  2012

Book Link:  Home Page Url