Natural language annotation for machine learning / James Pustejovsky and Amber Stubbs.

"Create your own natural language training corpus for machine learning. Whether you’re 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...

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Bibliographic Details
Main Author: Pustejovsky, J.
Other Authors: Stubbs, Amber.
Format: Book
Published: Sebastopol, CA : O'Reilly Media, ©2013.
Table of Contents:
  • The basics
  • Defining your goal and dataset
  • Corpus analytics
  • Building your model and specification
  • Applying and adopting annotation standards
  • Annotation and adjudication
  • Training: machine learning
  • Testing and evaluation
  • Revising and reporting
  • Annotation: TimeML
  • Automatic annotation: generating TimeML
  • Afterword: the future of annotation.