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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Natural Language Processing with Flair - A practical guide to understanding and solving NLP problems with Flair (Paperback)
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Natural Language Processing with Flair - A practical guide to understanding and solving NLP problems with Flair (Paperback)
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Learn how to solve practical NLP problems with the Flair Python
framework, train sequence labeling models, work with text
classifiers and word embeddings, and much more through hands-on
practical exercises Key Features Backed by the community and
written by an NLP expert Get an understanding of basic NLP problems
and terminology Solve real-world NLP problems with Flair with the
help of practical hands-on exercises Book DescriptionFlair is an
easy-to-understand natural language processing (NLP) framework
designed to facilitate training and distribution of
state-of-the-art NLP models for named entity recognition,
part-of-speech tagging, and text classification. Flair is also a
text embedding library for combining different types of embeddings,
such as document embeddings, Transformer embeddings, and the
proposed Flair embeddings. Natural Language Processing with Flair
takes a hands-on approach to explaining and solving real-world NLP
problems. You'll begin by installing Flair and learning about the
basic NLP concepts and terminology. You will explore Flair's
extensive features, such as sequence tagging, text classification,
and word embeddings, through practical exercises. As you advance,
you will train your own sequence labeling and text classification
models and learn how to use hyperparameter tuning in order to
choose the right training parameters. You will learn about the idea
behind one-shot and few-shot learning through a novel text
classification technique TARS. Finally, you will solve several
real-world NLP problems through hands-on exercises, as well as
learn how to deploy Flair models to production. By the end of this
Flair book, you'll have developed a thorough understanding of
typical NLP problems and you'll be able to solve them with Flair.
What you will learn Gain an understanding of core NLP terminology
and concepts Get to grips with the capabilities of the Flair NLP
framework Find out how to use Flair's state-of-the-art pre-built
models Build custom sequence labeling models, embeddings, and
classifiers Learn about a novel text classification technique
called TARS Discover how to build applications with Flair and how
to deploy them to production Who this book is forThis Flair NLP
book is for anyone who wants to learn about NLP through one of the
most beginner-friendly, yet powerful Python NLP libraries out
there. Software engineering students, developers, data scientists,
and anyone who is transitioning into NLP and is interested in
learning about practical approaches to solving problems with Flair
will find this book useful. The book, however, is not recommended
for readers aiming to get an in-depth theoretical understanding of
the mathematics behind NLP. Beginner-level knowledge of Python
programming is required to get the most out of this book.
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