Deep Learning for Natural Language Processing (Stephan Raaijmakers) (Z-Library)

Author： Stephan Raaijmakers

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, NLP expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including: • An overview of NLP and deep learning • One-hot text representations • Word embeddings • Models for textual similarity • Sequential NLP • Semantic role labeling • Deep memory-based NLP • Linguistic structure • Hyperparameters for deep NLP