Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications

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Publisher ‏ : ‎ O’Reilly Media; 1st edition (December 4, 2012)
Language ‏ : ‎ English
Paperback ‏ : ‎ 339 pages
ISBN-10 ‏ : ‎ 1449306667
ISBN-13 ‏ : ‎ 978-1449306663
Item Weight ‏ : ‎ 1.23 pounds
Dimensions ‏ : ‎ 7 x 0.73 x 9.19 inches

Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications

Natural language annotation is a crucial step in building machine learning models that can understand and generate human language. In order to train these models effectively, a high-quality corpus of annotated data is essential.

In this guide, we will walk you through the process of building a corpus for natural language processing applications. We will cover the different types of annotations, tools and techniques for annotation, best practices for creating a reliable corpus, and how to evaluate the quality of your annotations.

Whether you are a researcher, developer, or data scientist working on natural language processing projects, this guide will provide you with the knowledge and resources you need to create a robust corpus for training machine learning models. Stay tuned for tips, tricks, and insights on how to effectively annotate your data for optimal performance.
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