Understanding Natural Language Understanding

Author:   Erik Cambria
Publisher:   Springer International Publishing AG
ISBN:  

9783031739767


Pages:   500
Publication Date:   24 October 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Understanding Natural Language Understanding


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Author:   Erik Cambria
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031739767


ISBN 10:   3031739760
Pages:   500
Publication Date:   24 October 2025
Audience:   Primary & secondary/elementary & high school ,  Secondary
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Acknowledgements.- Acronyms.- 1. Natural Language Understanding & AI.- 2. Syntactics Processing.- 3. Semantics Processing.- 4. Pragmatics Processing.- 5. Knowledge Representation & Reasoning.- 6. Conclusion.

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Author Information

Erik Cambria is a Professor at Nanyang Technological University, where he also holds the appointment of Provost Chair in Computer Science and Engineering, and Founder of several AI companies, such as SenticNet, offering B2B sentiment analysis services, and finaXai, providing fully explainable financial insights. Prior to moving to Singapore, he worked at Microsoft Research Asia (Beijing) and HP Labs India (Bangalore), after earning his PhD through a joint program between the University of Stirling (UK) and MIT Media Lab (USA). Today, his research focuses on neurosymbolic AI for interpretable, trustworthy, and explainable affective computing in domains like social media monitoring, financial forecasting, and AI for social good. He is ranked in Clarivate’s Highly Cited Researchers List of World’s Top 1% Scientists, is recipient of many awards, e.g., IEEE Outstanding Early Career, was listed among the AI's 10 to Watch, and was featured in Forbes as one of the 5 People Building Our AI Future. He is an IEEE Fellow, Associate Editor of various top-tier AI journals, e.g., Information Fusion and IEEE Transactions on Affective Computing, and is involved in several international conferences as keynote speaker, program chair and committee member.

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