Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) (Paperback)

Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) By Yoav Goldberg, Graeme Hirst (Editor) Cover Image

Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) (Paperback)

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Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.

The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.

The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Product Details ISBN: 9781627052986
ISBN-10: 1627052984
Publisher: Morgan & Claypool
Publication Date: April 17th, 2017
Pages: 309
Language: English
Series: Synthesis Lectures on Human Language Technologies