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Natural Language Annotation for Machine Learning, Paperback / softback Book

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.


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