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Academic Articles & Research Papers
Showing 20 of 441 academic articles
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making
(2018)
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
Akshar Bharati, Vineet Chaitanya, Rajeev Sangal, K.V. Ramakrishnamacharyulu (1996)
This book is presented with a paninian perspective [Panini 500 B was a grammarian and well known for his contribution to the grammar and structure of the language.] It introduces three western grammar frameworks using examples from English....
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C Friedman, George M. Hripcsak, William DuMouchel, Stephen B. Johnson et al. • Natural Language Engineering
(1995)
Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...
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DOI: https://doi.org/10.1017/s1351324900000061
Carol Friedman, Noémie Elhadad • Springer eBooks
(2013)
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DOI: https://doi.org/10.1007/978-1-4471-4474-8_8
Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics
(2026)
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14020299
Yuan Huang, Zhixing Li, Wei Deng, Guoyin Wang et al. • CAAI Transactions on Intelligence Technology
(2021)
Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12033
Rui Zhao, Haofeng Hu, Yun Li, Yuze Fan et al. • Sensors
(2024)
Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement lear...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24196202
Cansu Colakca, Mehmet Ergın, Habibe Selmin Ozensoy, Alp Sener et al. • Scientific Reports
(2024)
Abstract Erroneous and delayed triage in an increasingly crowded emergency department (ED). ChatGPT is an artificial intelligence model developed by OpenAI® and is being trained for use in natural language processing tasks. Our study aims t...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-73229-7
Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information
(2025)
Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info16050358
Cyrille YetuYetu Kesiku, Andrea Chaves-Villota, Begonya Garcia-Zapirain • Information
(2022)
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13100499
Adam Przepiórkowski, Maciej Ogrodniczuk • Lecture notes in computer science
(2014)
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DOI: https://doi.org/10.1007/978-3-319-10888-9
George M. Hripcsak, Carol Friedman, Philip O. Alderson, William DuMouchel et al. • Annals of Internal Medicine
(1995)
OBJECTIVE: To evaluate the automated detection of clinical conditions described in narrative reports. DESIGN: Automated methods and human experts detected the presence or absence of six clinical conditions in 200 admission chest radiograph ...
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DOI: https://doi.org/10.7326/0003-4819-122-9-199505010-00007
Adwait Ratnaparkhi • Scholarly Commons (University of Pennsylvania)
(1997)
Many problems in natural language processing can be viewed as linguistic classification problems, in which linguistic contexts are used to predict linguistic classes. Maximum entropy models offer a clean way to combine diverse pieces of con...
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Supriyono Supriyono, Aji Prasetya Wibawa, Suyono Suyono, Fachrul Kurniawan • Telematics and Informatics Reports
(2024)
This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, ext...
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DOI: https://doi.org/10.1016/j.teler.2024.100173
David Garfield, CHARLES RAPP, Martha W. Evens • The Journal of Nervous and Mental Disease
(1992)
The potential benefit of artificial intelligence (AI) technology as a tool of psychiatry has not been well defined. In this essay, the technology of natural language processing and its position with regard to the two main schools of AI is c...
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DOI: https://doi.org/10.1097/00005053-199204000-00004
Wendy W. Chapman, Adi V. Gundlapalli, Brett R. South, John Dowling • Integrated series on information systems/Integrated series in information systems
(2010)
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DOI: https://doi.org/10.1007/978-1-4419-6892-0_13
Wei Wang, Jianxun Gang • IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE)
(2018)
Convolutional neural network (Convolutionl Neural Network, CNN) is a multiple-layer neural network method to learn hierarchical characteristic of data. In recent years, CNN has developed rapidly in the design and calculation of natural lang...
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DOI: https://doi.org/10.1109/iciscae.2018.8666928
Cheryl Mary Corcoran, Vijay Anand Mittal, Carrie E. Bearden, Raquel E. Gur et al. • Schizophrenia Research
(2020)
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Open Access
DOI: https://doi.org/10.1016/j.schres.2020.04.032
PMC: 7704556
Matthew N. O. Sadiku, Yu Ping Zhou, Sarhan M. Musa • International Journal of Advances in Scientific Research and Engineering
(2018)
Natural language processing (NLP) refers to the field of study that focuses on the interactions between human language and computers. It is a computational approach to text analysis. It is the application of a wide range of computational te...
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DOI: https://doi.org/10.31695/ijasre.2018.32708
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg et al. (2021)
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (...
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DOI: https://doi.org/10.18653/v1/2021.acl-long.570