Neural Network Methods in Natural Language Processing

Nonfiction, Computers, Advanced Computing, Natural Language Processing, Artificial Intelligence, Reference & Language, Language Arts, Linguistics
Cover of the book Neural Network Methods in Natural Language Processing by Yoav Goldberg, Graeme Hirst, Morgan & Claypool Publishers
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Yoav Goldberg, Graeme Hirst ISBN: 9781681731551
Publisher: Morgan & Claypool Publishers Publication: April 17, 2017
Imprint: Morgan & Claypool Publishers Language: English
Author: Yoav Goldberg, Graeme Hirst
ISBN: 9781681731551
Publisher: Morgan & Claypool Publishers
Publication: April 17, 2017
Imprint: Morgan & Claypool Publishers
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Morgan & Claypool Publishers

Cover of the book Designing for Digital Reading by Yoav Goldberg, Graeme Hirst
Cover of the book Science Fiction Prototyping by Yoav Goldberg, Graeme Hirst
Cover of the book The Ringed Planet by Yoav Goldberg, Graeme Hirst
Cover of the book The Melencolia Manifesto by Yoav Goldberg, Graeme Hirst
Cover of the book Automatic Parallelization by Yoav Goldberg, Graeme Hirst
Cover of the book Essential Fluid Dynamics for Scientists by Yoav Goldberg, Graeme Hirst
Cover of the book Concepts in Physical Metallurgy by Yoav Goldberg, Graeme Hirst
Cover of the book Electrostatic Phenomena on Planetary Surfaces by Yoav Goldberg, Graeme Hirst
Cover of the book Communication Networks by Yoav Goldberg, Graeme Hirst
Cover of the book Remote Sensing Image Processing by Yoav Goldberg, Graeme Hirst
Cover of the book Designing for Gesture and Tangible Interaction by Yoav Goldberg, Graeme Hirst
Cover of the book The Tai Chi in Star Formation by Yoav Goldberg, Graeme Hirst
Cover of the book Semiconductor Integrated Optics for Switching Light by Yoav Goldberg, Graeme Hirst
Cover of the book Communities of Computing by Yoav Goldberg, Graeme Hirst
Cover of the book Game Theory for Data Science by Yoav Goldberg, Graeme Hirst
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy