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

Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies) Author Yoav Goldberg
ISBN-10 1627052984
ISBN-13 9781627052986
Year 2017-04-17
Pages 310
Language English
Publisher Morgan & Claypool Publishers
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Neural networks are a family of powerful machine learning models This book focuses on the application of neural network models 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

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