Book description
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 corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started.
Table of contents
- Preface
- 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
- A. List of Available Corpora and Specifications
- B. List of Software Resources
- C. MAE User Guide
- D. MAI User Guide
- E. Bibliography
- Index
- About the Authors
- Colophon
- Copyright
Product information
- Title: Natural Language Annotation for Machine Learning
- Author(s):
- Release date: October 2012
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449306663
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