Natural language processing /
Pushpak Bhattacharyya, Aditya Joshi.
- 1st ed.
- New Delhi: Wiley, 2023.
- xx, 400 pages : Illustrations ; 24 cm.
Includes Index.
Chapter 1 Introduction Chapter 2 Representation and NLP Chapter 3 Shallow Parsing Chapter 4 Deep Parsing Chapter 5 Named Entity Recognition Chapter 6 Natural Language Inference Chapter 7 Machine Translation Chapter 8 Sentiment Analysis Chapter 9 Question Answering Chapter 10 Conversational AI Chapter 11 Summarization Chapter 12 NLP of Incongruous Text Chapter 13 Large Language Models Chapter 14 Shared Tasks and Benchmarks Chapter 15 NLP Dissemination Index
Striking a balance between foundational insights and applications, the book introduces three generations of NLP—rule-based, statistical, and neural—and approaches in these generations to NLP tasks such as shallow and deep parsing, machine translation, sentiment analysis, summarization, question-answering, and many more. In addition, chapters on large language models, shared tasks, and research dissemination serve as a solid foundation for readers to start their NLP journey. Significant focus has been given to NLP-based solutions which are increasingly finding applications in several domains.
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Artificial intelligence Natural language processing