Natural Language Processing: A Knowledge Engineering Approach (Rowman & Alla…
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Natural Language Processing: A Knowledge Engineering Approach (Rowman & Allan, 2021)
Natural Language Processing (NLP) has become an essential tool in various fields such as artificial intelligence, machine learning, and linguistics. In their recent book, “Natural Language Processing: A Knowledge Engineering Approach,” authors Rowman & Allan provide a comprehensive overview of NLP from a knowledge engineering perspective.
The book delves into the fundamental concepts of NLP, including syntax, semantics, and pragmatics, and how these components can be leveraged to develop intelligent systems that can understand and generate human language. The authors also discuss the latest advancements in NLP, such as deep learning and neural networks, and how they have revolutionized the field.
One of the key strengths of this book is its focus on knowledge engineering, which emphasizes the importance of encoding domain-specific knowledge into NLP systems. By leveraging domain knowledge, NLP systems can better understand and generate language in specific contexts, leading to more accurate and meaningful results.
Overall, “Natural Language Processing: A Knowledge Engineering Approach” is a must-read for anyone interested in NLP and its applications. Whether you are a researcher, practitioner, or student, this book provides a solid foundation in NLP and equips you with the knowledge and tools needed to develop intelligent language systems.
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