Natural Language Processing in Artificial Intelligence

This book explores natural language processing, artificial intelligence, and related areas, focusing on computational models of information and how it is presented by language. It discusses intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes, addressing partiality, underspecification, and context-dependency. It also looks at an intelligent field monitoring and automated system through AI with NLP and its implications for the real world.

Format: Paperback / softback
Length: 296 pages
Publication date: 01 June 2022
Publisher: Apple Academic Press Inc.

This comprehensive volume delves into the realms of natural language processing (NLP), artificial intelligence (AI), and their interconnected fields. NLP plays a pivotal role in enabling human-computer communication and facilitating seamless global interactions by enabling automatic translation. This book explores both theoretical foundations and advanced applications of computational models that represent and interpret information through language, encompassing artificial, human, and natural modalities. It examines intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. Furthermore, it delves into the intricate challenges associated with partiality, underspecification, and context-dependency, which are inherent characteristics of information in nature and natural languages.

Key Features:
1. Comprehensive Coverage: The volume provides a comprehensive overview of NLP, AI, and their interconnections, covering a wide range of topics and applications.
2. Functional Frameworks and Workflow: It explores the functional frameworks and workflow trends in NLP and AI, highlighting the latest technologies and the major challenges, issues, and advances in these fields.
3. Intelligent Field Monitoring and Automated Systems: It delves into the realm of intelligent field monitoring and automated systems through AI with NLP, discussing their implications for the real world and providing practical examples.
4. Data Acquisition and Real-Time Case Study: The book discusses data acquisition techniques and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP, making it accessible to a broad audience.

In conclusion, this volume serves as a valuable resource for researchers, practitioners, and students interested in NLP, AI, and their interdisciplinary applications. It offers a comprehensive understanding of the theoretical foundations, advanced technologies, and practical challenges in these fields, enabling readers to stay at the forefront of this rapidly evolving research domain.

Weight: 550g
Dimension: 229 x 152 (mm)
ISBN-13: 9781771888653