Natural Language Annotation for Machine Learning
A Guide to Corpus-Building for Applications
Book Description
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.
Book Details | |
| Publisher: | O'Reilly Media |
| By: | James Pustejovsky, Amber Stubbs |
| ISBN-13: | 9781449306663 |
| ISBN-10: | 1449306667 |
| Year: | 2012 |
| Pages: | 350 |
| Language: | English |
Book Preview | |
| Online | Natural Language Annotation for Machine Learning |
Paper Book | |
| Buy: | Natural Language Annotation for Machine Learning |
Share Natural Language Annotation for Machine Learning
