Raaijmakers, Stephan <br/><br/>
Deep learning for natural language processing 

 - New York:  Manning Publications Co.,  c2022. 
 - xvii, 274p. 
<br/><br/> Includes bibliographical references and index 
<br/><br/> Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning! Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. You'll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses. 
<br/><br/><label>ISBN: </label>9781617295447 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Natural language processing (Computer science)<br/>Speech processing systems<br/>Machine learning
<br/><br/><label>Dewey Class. No.: </label>006.35 RAA