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Natural Language Annotation
V413HAV For More Quality Uploads : Kickass Torrents : https://kat.ph/user/V413HAV/ V413HAV On Facebook E-Book On Amazon Support The Developers. If You Like It, Buy It. Formats: EPUB, PDF 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. Using detailed examples at every step, you’ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project. - Define a clear annotation goal before collecting your dataset (corpus) - Learn tools for analyzing the linguistic content of your corpus - Build a model and specification for your annotation project - Examine the different annotation formats, from basic XML to the Linguistic Annotation Framework - Create a gold standard corpus that can be used to train and test ML algorithms - Select the ML algorithms that will process your annotated data - Evaluate the test results and revise your annotation task - Learn how to use lightweight software for annotating texts and adjudicating the annotations This book is a perfect companion to O’Reilly’s Natural Language Processing with Python. Table of Contents Chapter 1. The Basics Chapter 2. Defining Your Goal and Dataset Chapter 3. Corpus Analytics Chapter 4. Building Your Model and Specification Chapter 5. Applying and Adopting Annotation Standards Chapter 6. Annotation and Adjudication Chapter 7. Training: Machine Learning Chapter 8. Testing and Evaluation Chapter 9. Revising and Reporting Chapter 10. Annotation: TimeML Chapter 11. Automatic Annotation: Generating TimeML Chapter 12. Afterword: The Future of Annotation Appendix A. List of Available Corpora and Specifications Appendix B. List of Software Resources Appendix C. MAE User Guide Appendix D. MAI User Guide Appendix E. Bibliography Book Details Paperback: 344 pages Publisher: O’Reilly Media (October 2012) Language: English ISBN-10: 1449306667 ISBN-13: 978-1449306663 Related Torrents
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