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Natural language annotation for machine learning
Title
Natural language annotation for machine learning / James Pustejovsky and Amber Stubbs.
ISBN
9781449359768
1449359760
9781449359775
1449359779
9781449306663
1449306667
Edition
First edition.
Publication
Sebastopol, CA : O'Reilly Media, Inc., [2013]
Copyright Notice Date
©2013
Physical Description
1 online resource (324 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
"A guide to corpus-building for applications"--Book cover.
Access and use
Access restricted by licensing agreement.
Summary
"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"--Provided by publisher.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Pustejovsky, J. (James). Natural language annotation for machine learning. Sebastopol, CA : O'Reilly Media, ©2013
Format
Books / Online
Language
English
Added to Catalog
February 27, 2024
Bibliography
Includes bibliographical references and index.
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.
Subjects
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