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Natural Language Processing in Artificial Intelligence
This volume focuses on natural language processing, artificial intelligence, and allied areas.
Natural language processing enables communication between people and computers and
automatic translation to facilitate easy interaction with others around the world. This book
discusses theoretical work and advanced applications, approaches, and techniques for
computational models of information and how it is presented by language (artificial, human, or
natural) in other ways. It looks at intelligent natural language processing and related models of
thought, mental states, reasoning, and other cognitive processes. It explores the difficult
problems and challenges related to partiality, underspecification, and context-dependency, which
are signature features of information in nature and natural languages.
Key
• Addresses the functional frameworks and workflow that are trending in NLP and AI
• Looks at the latest technologies and the major challenges, issues, and advances
in NLP and AI
• Explores an intelligent field monitoring and automated system through AI with NLP
and its implications for the real world
• Discusses data acquisition and presents a real-time case study with illustrations related to
data-intensive technologies in AI and NLP
Natural language processing enables communication between people and computers and
automatic translation to facilitate easy interaction with others around the world. This book
discusses theoretical work and advanced applications, approaches, and techniques for
computational models of information and how it is presented by language (artificial, human, or
natural) in other ways. It looks at intelligent natural language processing and related models of
thought, mental states, reasoning, and other cognitive processes. It explores the difficult
problems and challenges related to partiality, underspecification, and context-dependency, which
are signature features of information in nature and natural languages.
Key
• Addresses the functional frameworks and workflow that are trending in NLP and AI
• Looks at the latest technologies and the major challenges, issues, and advances
in NLP and AI
• Explores an intelligent field monitoring and automated system through AI with NLP
and its implications for the real world
• Discusses data acquisition and presents a real-time case study with illustrations related to
data-intensive technologies in AI and NLP
296 pages, Paperback
Published June 1, 2022
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