[Free and download] Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications
❀ James Pustejovsky, Amber Stubbs ❀
| #765883 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 Name: 1449306667 | 342 pages |
||0 of 15 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 17 people found the following review helpful.| Five Stars|By Jeffrey Blaskie|Thank you!|5 of 36 people found the following review helpful.| Great book.|By Patrick L DelSalto|A pleasure t|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,
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&rs...
[PDF.si60] Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications Rating: 4.59 (526 Votes)
Natural Language Annotation for James Pustejovsky, Amber Stubbs pdf Natural Language Annotation for James Pustejovsky, Amber Stubbs pdf download Natural Language Annotation for James Pustejovsky, Amber Stubbs review Natural Language Annotation for James Pustejovsky, Amber Stubbs summary Natural Language Annotation for James Pustejovsky, Amber Stubbs textbooks Natural Language Annotation for James Pustejovsky, Amber Stubbs Free
You can specify the type of files you want, for your device.Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications | James Pustejovsky, Amber Stubbs.Not only was the story interesting, engaging and relatable, it also teaches lessons.
