Natural language annotation for machine learning
著者
書誌事項
Natural language annotation for machine learning
O'Reilly, 2013
3rd release
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注記
Includes bibliographical references (p. 303-313) and index
"2013-07-12: Third release"--T.p. verso
ページ数の相違による別書誌<BB11682581>あり
内容説明・目次
内容説明
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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