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Natural Language Annotation for Machine Learning

Natural Language Annotation for Machine Learning

A Guide to Corpus-Building for Applications

by James Pustejovsky
Paperback
Publication Date: 04/12/2012

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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.
ISBN:
9781449306663
9781449306663
Category:
Natural language & machine translation
Format:
Paperback
Publication Date:
04-12-2012
Language:
English
Publisher:
O'Reilly Media
Country of origin:
United States
Pages:
350
Dimensions (mm):
233x178x19mm
Weight:
0.55kg

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