Deep Learning and Linguistic Representation

Deep Learning and Linguistic Representation
by Shalom Lappin
Publisher Finelybook 出版社: Chapman and Hall/CRC; 1st edition (27 April 2021)
Language 语言: English
Hardcover: 168 pages
ISBN-10: 0367649470
ISBN-13: 9780367649470
Book Description
The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications,deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence,the significance of these achievements for the modelling of human learning and representation remains unclear.
Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP tasks. It also considers the extent to which this work illuminates our understanding of the way in which humans acquire and represent linguistic knowledge.
Key Features:
combines an introduction to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics.
is self-contained and suitable for teaching in computer science,AI,and cognitive science courses; it does not assume extensive technical training in these areas.
provides a compact guide to work on state of the art systems that are producing a revolution across a range of difficult natural language tasks.