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Margaret King • Communications of the ACM
(1996)
article Free Access Share on Evaluating natural language processing systems Author: Margaret King Univ. of Geneva, Geneva, Switzerland Univ. of Geneva, Geneva, SwitzerlandView Profile Authors Info & Claims Communications of the ACMVolume 39...
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DOI: https://doi.org/10.1145/234173.234208
Gavin Long, Evgeniya Lukinova, John Harvey, Joanne Parkes et al. • International Journal of Population Data Science
(2025)
Introduction & Background
Climate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas...
DOAJ
Open Access (DOAJ)
DOI: 10.23889/ijpds.v10i5.3336
Zhiyuan Liu, Yankai Lin, Maosong Sun • Springer eBooks
(2023)
This open access book provides a comprehensive overview of the representation learning techniques for natural language processing....
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DOI: https://doi.org/10.1007/978-981-99-1600-9
Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine
(2018)
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...
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DOI: https://doi.org/10.5811/westjem.2018.11.39725
PMC: 6324711
Elizabeth D. Liddy • CRC Press eBooks
(2009)
Natural language processing (NLP) is the computerized approach to analyzing text that is based on both a set of theories and a set of technologies. Although NLP is a relatively recent area of research and application, compared with other in...
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DOI: https://doi.org/10.1081/e-elis3-120008664
Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights
(2018)
Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...
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DOI: https://doi.org/10.1177/1178222618792860
PMC: 6111391
Yorick Alexander Wilks • Communications of the ACM
(1996)
article Free Access Share on Natural language processing Author: Yorick Wilks View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 1Jan. 1996pp 60–62https://doi.org/10.1145/234173.234180Published:01 January 1996Publica...
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Open Access
DOI: https://doi.org/10.1145/234173.234180
David C. Yen, William S. Davis • CRC Press eBooks
(2019)
This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...
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DOI: https://doi.org/10.1201/9781420049107-68
Kevin Bretonnel Cohen, Dina Demner‐Fushman • Natural language processing
(2014)
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the per...
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DOI: https://doi.org/10.1075/nlp.11
Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela et al. • IEEE Access
(2024)
Classification of brain tumour is critical in medical image analysis and diagnosis as it aids in determining the affinity of cases to select treatment paths. This feature underscores the importance of accurate classification of brain tumour...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3460380
C Friedman, George M. Hripcsak • Academic Medicine
(1999)
If accurate clinical information were available electronically, automated applications could be developed to use this information to improve patient care and lower costs. However, to be fully retrievable, clinical information must be struct...
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DOI: https://doi.org/10.1097/00001888-199908000-00012
M. Chandhana Surabhi • International Conference on Optical Imaging Sensor and Security (ICOSS)
(2013)
Natural Language Processing is a technique where machine can become more human and thereby reducing the distance between human being and the machine can be reduced. Therefore in simple sense NLP makes human to communicate with the machine e...
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DOI: https://doi.org/10.1109/icoiss.2013.6678407
Alexander Clark, Chris Fox, Shalom Lappin (2010)
The Handbook of Computational Linguistics and Natural Language Processing provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing...
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Ray Oshikawa, Qian, Jing, William Yang Wang • arXiv (Cornell University)
(2018)
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP). The rapid rise of social networking platforms has not only yielded a vast increase in information accessibility but has also accelerated the spr...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1811.00770
Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir et al. • IEEE Access
(2024)
This review examines the ethical, social, and technical challenges posed by AI-generated text tools, focusing on their rapid advancement and widespread adoption. An exhaustive literature search across many databases, strict inclusion/exclus...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3521945
Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access
(2025)
Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3574641
Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning
(2023)
Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...
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Open Access
DOI: https://doi.org/10.1561/2200000096
Hang Li • National Science Review
(2017)
Deep learning refers to machine learning technologies for learning and utilizing ‘deep’ artificial neural networks, such as deep neural networks (DNN), convolutional neural networks (CNN) and recurrent neural networks (RNN). Recently, deep ...
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DOI: https://doi.org/10.1093/nsr/nwx110
Abhimanyu Chopra, Abhinav Prashar, Chandresh Sain • Natural language processing
(2013)
ABSTRACT: Language is way of communicating your words Language helps in understanding the world,we get a better insight of the world. Language helps speakers to be as vague or as precise as they like. NLP Stands for natural language process...
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DOI: https://doi.org/10.1075/nlp
Alina Dushkevych • Філологічні студії
(2025)
The article is devoted to a comprehensive analysis of the resources of forming the English terminological system of inclusive education in the modern educational environment. The role of terminology as a tool for standardizing knowledge, co...
DOAJ
Open Access (DOAJ)
DOI: 10.28925/2412-2491.2025.255