[PDF.34od] Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications
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Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications
James Pustejovsky, Amber Stubbs
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| #727951 in Books | O'Reilly Media | 2012-11-04 | 2012-11-01 | Original language:English | PDF # 1 | 9.19 x.73 x7.00l,1.21 | File type: PDF | 342 pages | ||0 of 13 people found the following review helpful.| Informative and easy to follow|By axmeh|Not sure how useful it will be for me though|0 of 15 people found the following review helpful.| Five Stars|By Jeffrey Blaskie|Thank you!|2 of 76 people found the following review helpful.| This is required reading for this aspect of Russian ecology.||About the Author|
|James Pustejovsky teaches and does research in Artificial Intelligence and Computational Linguistics in the Computer Science Department at Brandeis University. His main areas of interest include: lexical meaning, computational semantics, t
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&rsq...
You easily download any file type for your gadget.Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications | James Pustejovsky, Amber Stubbs. Which are the reasons I like to read books. Great story by a great author.
