Natural Language Annotation for Machine Learning
A Guide to Corpus-Building for Applications
| Price | $31.99 - $40.90
|
| Rating |   |
| Authors | James Pustejovsky, Amber Stubbs |
| Publisher | O'Reilly Media |
| Published | 2012 |
| Pages | 350 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1449306667 |
| ISBN-13 | 9781449306663 |
Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process.
Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You'll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations.
- James Pustejovsky
- Amber Stubbs
4 5 68
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