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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Natural Language Annotation for Machine Learning
• Author: James Pustejovsky
• Language: English
• Binding: Paperback
• Number of pages: 350
• EAN: 9781449306663
• ISBN: 1449306667
• ID: 01217748
• Publisher: O'Reilly Media
• Weight: 618 g
• Dimensions: 233 × 179 × 19 mm
• Date of publishing: 02. November 2012

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