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Neural Network Methods for Natural Language Processing
Neural Network Methods for Natural Language Processing

Neural Network Methods for Natural Language Processing

Yoav Goldberg
pubblicato da Morgan & Claypool Publishers

Prezzo online:
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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.

Dettagli

Generi Computers & Web » Computer Science

Editore Morgan & Claypool Publishers

Formato Paperback / softback

Pubblicato 30/04/2017

Pagine 309

Lingua Inglese

Isbn o codice id 9781627052986

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