Challenges natural language processing (15 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

hardcover. Zustand: Good. No Dust Jacket. First Edition. Hardcover. No jacket. Ex-library with a label removed from FEP. Stamps on prelims and page block. Boards have minimal wear. Text is clear throughout. Used.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Academic Paper from the year 2019 in the subject English Language and Literature Studies - Culture and Applied Geography, grade: 1,3, University of Kassel, language: English, abstract: What is math about Basically spoken, it is about uniting separate parts and bringing together something new. To understand and to read the new creation, it is important to understand the meaning of each part to create further meaning of the whole. Where is the difference to language To properly understand a language it is important to split it into smaller units and to understand the meaning of each unit it is necessary and helpful to understand the whole language. The mathematical formula is 1+1= language. Firstly, this seems to be confusing but lately, logical. Language does consist of smaller units which, once brought together, build up to a new system, a whole language. To understand a language it is therefore indispensable to understand logical connections but it is not necessary to be a math genius. Today's most striking field of linguistic, Natural Language Processing (NLP), combines the ability to think logically and to analyse language in an encompassing manner. The aim of this paper is to give a brief introduction on what is Natural Language Processing (NLP) and further, to define several challenges NLP has to face due to online data bias. The challenges which concern the field of technology as well as they influence the social impact form a work frame for the overlaying field of ethical challenges in online data which are going to be displayed in this paper. Not only existing challenges but also future solutions will be a subject of discussion.…

Zustand: New. In English.

Zustand: New. This book addresses theoretical or applied work in the field of natural language processing. Editor(s): Bates, Madeleine; Weischedel, Ralph M. Series: Studies in Natural Language Processing. Num Pages: 312 pages, 5 tables. BIC Classification: CFX; UYQL. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 18. Weight in Grams: 460. . 2008. Revised ed. paperback. . . . . Books ship from the US and Ireland. …

Paperback. Zustand: Brand New. 312 pages. 9.00x5.90x0.90 inches. In Stock.

Hardcover. Zustand: New.

Paperback. Zustand: Brand New. 170 pages. 9.18x6.12x9.21 inches. In Stock.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Neuware - Natural Language Processing in Healthcare Informatics: Challenges and Future Directions is an exploration into the transformative role of NLP and AI technologies in modern healthcare systems. The book delves into foundational concepts, advanced deep learning techniques, and cutting-edge applications of NLP in clinical decision support, electronic health record analysis, medical literature mining, patient-provider communication, and personalised medicine. Structured across ten detailed chapters, the volume covers both theoretical foundations and practical implementations. Early chapters introduce AI and NLP in healthcare, highlighting applications in telehealth, wearable technologies, robotic surgery, and FDA-approved AI devices. Subsequent chapters examine challenges unique to healthcare NLP, including data quality and standardisation, linguistic variability, computational limitations, and ethical considerations such as bias, transparency, and patient privacy. The book also provides in-depth insights into deep learning approaches for medical text analysis, preprocessing and annotation strategies, the evaluation of large language models for RNA interactions, and the application of Bi-LSTM architectures for advanced healthcare NLP tasks. Innovative chapters explore the role of knowledge graphs in rare disease prediction, AI and ML for focused ultrasound treatments, mathematical modelling using fuzzy numbers for healthcare NLP trends, and AI/ML integration in drug discovery and personalised medicine. Key Features: -Detailed discussions and case studies on the applications of AI and NLP in healthcare, including telehealth, EHR analysis, and medical imaging.-In-depth coverage of challenges in healthcare NLP encompassing data quality, linguistic variability, computational requirements, and ethical considerations.-Explores deep learning techniques: RNNs, CNNs, Transformers, Bi-LSTM, and their application to medical text.-Gives practical guidance on data preprocessing, annotation, and evaluation for healthcare NLP tasks.-Provides insight into emerging trends by integrating theoretical concepts with real-world implementations, coding examples, and model workflows in Python and MATLAB.…

Zustand: New. This book addresses theoretical or applied work in the field of natural language processing. Editor(s): Bates, Madeleine; Weischedel, Ralph M. Series: Studies in Natural Language Processing. Num Pages: 312 pages, 5 tables. BIC Classification: UYQL. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 228 x 152 x 21. Weight in Grams: 530. . 1993. First Edition. hardcover. . . . . Books ship from the US and Ireland. …

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome Or because there has not been enough time to refine and apply theoretical work already done Editors Madeleine Bates and Ralph Weischedel believe it is neither; they feel that several critical issues have never been adequately addressed in either theoretical or applied work, and they have invited capable researchers in the field to do that in Challenges in Natural Language Processing. This volume will be of interest to researchers of computational linguistics in academic and non-academic settings and to graduate students in computational linguistics, artificial intelligence and linguistics.…

Zustand: New.

Hardcover. Zustand: Brand New. 460 pages. 9.18x6.12x9.24 inches. In Stock.

Buch. Zustand: Neu. Neuware - Natural language processing enables communication between people and computers as well as automatic translation to facilitate easy interaction with others around the world. This new volume focuses on natural language processing in conjunction with artificial intelligence and allied areas, discussing advanced applications, approaches, and techniques for computational models of information and how they are presented by language (artificial, human, or natural in other ways). It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes.Key features: - Addresses the functional frameworks and workflow that are trending in NLP and AI - Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI - Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world - Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.…