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Neural Network Methods in Natural Language Processing

Neural Network Methods in Natural Language Processing

Neural Network Methods in Natural Language Processing

Title: Neural Network Methods in Natural Language Processing | Author(s): Yoav Goldberg, Graeme Hirst | Publisher: Morgan & Claypool | Year: 2017 | Language: English | Pages : 310 | Size: 2 MB | Extension: pdf 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…


Modularity in Knowledge Representation and Natural-Language Understanding – Jay L Garfield




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