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Natural language annotation for machine learning / James Pustejovsky and Amber Stubbs.
- Format:
- Book
- Author/Creator:
- Pustejovsky, J. (James)
- Language:
- English
- Subjects (All):
- Corpora (Linguistics)--Data processing.
- Corpora (Linguistics).
- Natural language processing (Computer science).
- Physical Description:
- 1 online resource (341 p.)
- Edition:
- 1st edition
- Place of Publication:
- Beijing ; Sebastopol, California : O'Reilly, 2013.
- Language Note:
- English
- System Details:
- text file
- 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. 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 compl
- Notes:
- "A guide to corpus-building for applications"--Cover.
- Includes bibliographical references (pages 305-315).
- Description based on online resource; title from PDF title page (ebrary, viewed October 17, 2013).
- ISBN:
- 9781449359768
- 1449359760
- 9781306811095
- 1306811090
- 9781449359775
- 1449359779
- 9781449332693
- 1449332692
- OCLC:
- 801812987
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