Goldberg, Yoav <br/><br/>
Neural network methods for natural language processing / 
Yoav Goldberg 
 - Claypool :  Springer International Publishing ,  2012. 
 - xxii, 287 pages :  illustrations ;  24 cm. 
<br/><br/>Supervised Classification and Feed-forward Neural Networks -- Working with Natural Language Data -- Specialized Architectures -- Additional Topics. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783031010378 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence<br/>Computers <br/>Natural language processing (Computer science)
<br/><br/><label>Dewey Class. No.: </label>006.35  / GOL