Transformative Natural Language Processing
Springer International Publishing (Verlag)
978-3-031-88987-5 (ISBN)
The evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching consequences, making the need for advanced NLP techniques crucial.
This book aims to bridge the gap between state-of-the-art NLP technologies and their practical applications in medicine, law, and finance. By focusing on the specific challenges and advancements within these sectors, the publication intends to highlight innovative approaches, methodologies, and technologies that are shaping the future of NLP. It discusses the integration of NLP with other technological advancements, the development of new tools and techniques, and the ethical considerations involved in deploying NLP solutions in high-stakes domains.
Moreover, the book provides a platform for researchers, practitioners, and industry experts to share their experiences, insights, and research findings. Through comprehensive reviews, case studies, and empirical research, it covers a range of topics including but not limited to handling uncertainty in clinical notes, approaches for dealing with ambiguity in legal documents, sentiment analysis in financial markets, and ethical considerations in the use of NLP for sensitive data.
Dr. Akshi Kumar is a Senior Lecturer (Associate Professor) in AI/NLP and Director of Post Graduate Research (PGR) in the Department of Computing at the Goldsmiths, University of London, London, United Kingdom. She is a Post-doc from Federal Institute of Education, Science and Technology of Ceará, Fortaleza, Brazil and a PhD from Faculty of Technology, University of Delhi, India. Her career has traversed diverse educational landscapes, including roles as a Senior Lecturer in AI & Data Science at Manchester Metropolitan University in Manchester, United Kingdom, an Associate Professor at Netaji Subhas University of Technology (NSUT) in New Delhi, India, and an Assistant Professor at Delhi Technological University (DTU) in New Delhi, India. Dr. Kumar was endorsed by the Royal Academy of Engineering, United Kingdom as an Exceptional Talent in the field of Artificial Intelligence/Data Science in 2022, and has received several research awards for Excellence in Research from various National and International organizations. She has been serving as associate and guest editor in various high impact journals with reputed publishers. Her research interests are in NLP, social network and media analytics, affective computing, and AI for pervasive healthcare. She is a member of Turing NLP interest group, British computer society (BCS) and Senior member of IEEE.
Dr. Saurabh Raj Sangwan is an Assistant Professor in the School of Computer Science and Engineering at Galgotias University, Greater Noida, India. He received his doctorate from Netaji Subhas University of Technology, New Delhi in 2022. He did his bachelor s degree in computer science and engineering from DCRUST, Murthal, India, and obtained the M.Tech. degree in software engineering from the Department of Computer Science & Engineering, Delhi Technological University, Delhi, India, in 2018. He has a meritorious publication record in the field of NLP with papers in high impact journals and reputed conferences. Dr. Sangwan is also a recipient of the commendable research award from NSUT, Delhi. His works have been referred in various evidence published in the UK Parliament. His research interests include cyber informatics, online behaviour, natural language processing and health informatics.
Preface.- 1. Introduction to Natural Language Processing in High-Stakes Domains.- 2. NLP in Medicine: Enhancing Diagnostics and Patient Care.- 3. NLP in the Legal Domain: Ensuring Precision and Compliance.- 4. Introduction to NLP in Finance: Sentiment Analysis and Risk Management.- 5. Managing Uncertainty in NLP: Advanced Techniques and Approaches.- 6. NLP for Fraud Detection and Security in Financial Documents.- 7. Multilingual and Cross-Linguistic Challenges in NLP.- 8. NLP in Action: Case Studies from Healthcare, Finance, and Industry.- 9. Generative Large Language Models in Clinical, Legal and Financial Domains.- 10. Responsible and Ethical AI in Natural Language Processing.
| Erscheinungsdatum | 18.06.2025 |
|---|---|
| Zusatzinfo | XII, 239 p. 29 illus., 24 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik |
| Schlagworte | Cross-Linguistic Knowledge Transfer • Data Security • ethical AI • Financial NLP • fraud detection • Large Language Models • Legal NLP • Medical NLP • Natural Language Processing • responsible AI • Risk Management • Robust Multilingual NLP Models • sentiment analysis • Uncertainty in NLP |
| ISBN-10 | 3-031-88987-8 / 3031889878 |
| ISBN-13 | 978-3-031-88987-5 / 9783031889875 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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