000			01369nam a22002057a 4500
005			20260302123241.0
020			_a9783031010378
041			_aENG
082			_a006.35 _bGOL
100			_aGoldberg, Yoav
245			_aNeural network methods for natural language processing / _cYoav Goldberg
260			_aClaypool : _bSpringer International Publishing , _c2012.
300			_axxii, 287 pages : _billustrations ; _c24 cm.
505			_aSupervised Classification and Feed-forward Neural Networks -- Working with Natural Language Data -- Specialized Architectures -- Additional Topics.
520			_aNeural 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.
650			_aArtificial intelligence
650			_aComputers
650			_aNatural language processing (Computer science)
942			_2ddc _cBK
999			_c24264 _d24264