Natural Language Annotation for Machine Learning (BOK)

James Pustejovsky, Amber Stubbs

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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.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2012 Forfatter Amber Stubbs, James Pustejovsky
Forlag
O'REILLY
ISBN 9781449306663
Antall sider 346 Dimensjoner 17,8cm x 23,3cm x 1,9cm
Vekt 549 gram Leverandør Bertram Trading Ltd
Emner og form Natural language & machine translation