Natural Language Annotation for Machine Learning Paperback / softback
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.
This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.
- Format: Paperback / softback
- Pages: 350 pages
- Publisher: O'Reilly Media, Inc, USA
- Publication Date: 31/10/2012
- Category: Natural language & machine translation
- ISBN: 9781449306663
- EPUB from £20.64