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Academic Articles & Research Papers
Showing 20 of 138 academic articles
Alessio Faccia, Julie McDonald, Babu George • Computers
(2023)
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet fraudulent financial statements remain challenging to detect and prevent. This study introduces a novel approach to detecting financial statement...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers13010005
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health
(2022)
BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.850619
Qingxia Chen • Discover Artificial Intelligence
(2025)
Abstract This study explores the application of artificial intelligence (AI) in improving the trial efficiency of criminal cases. Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we appl...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00353-2
Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science
(2024)
Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...
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DOI: https://doi.org/10.7717/peerj-cs.2222
PMC: 11322986
Nizar Y. Habash (2022)
The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...
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DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2
Robert H Baud, A M Rassinoux, Jean Raoul Scherrer • Methods of Information in Medicine
(1992)
For medical records, the challenge for the present decade is Natural Language Processing (NLP) of texts, and the construction of an adequate Knowledge Representation. This article describes the components of an NLP system, which is currentl...
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DOI: https://doi.org/10.1055/s-0038-1634865
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
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
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
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
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
Tianrun A. Cai, Andreas A. Giannopoulos, Sheng Yu, Tatiana Kelil et al. • Radiographics
(2016)
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...
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Open Access
DOI: https://doi.org/10.1148/rg.2016150080
PMC: 4734053
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials
(2025)
The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...
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DOI: https://doi.org/10.1038/s41524-025-01554-0
Vera Paola Shoda, Toshimasa Yamanaka • Behavioral Sciences
(2021)
Humor is applied in pedagogy to create a positive learning environment. Recent research focuses on the theories, effects, individual differences, and qualitative aspects of humor for instruction. However, there is a lack of studies focusing...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs12010007
Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making
(2021)
BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...
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DOI: https://doi.org/10.1186/s12911-021-01533-7
PMC: 8176715
Zhijing Jin, Rada F. Mihalcea • Springer eBooks
(2022)
Abstract Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to parse text into key information that is needed for policymaking. In this chapter, w...
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DOI: https://doi.org/10.1007/978-3-031-16624-2_7
Asefeh Asemi, Rajab Kiani Shahvandy, Mahdi Houshangi • International Journal of Information Management Data Insights
(2026)
Objective: This study conducts a comprehensive empirical evaluation of semantic clustering algorithms to identify the most effective approach for automatically organizing and extracting meaning from textual data. By systematically comparing...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2026.100396
Cristian Cosentino, Simone Gatto, Pietro Liò, Fabrizio Marozzo • Future Internet
(2026)
Machine Learning (ML) models trained on large-scale datasets learn useful predictive patterns, but they may also memorize undesired information, leading to risks such as information leakage, bias, copyright violations, and privacy attacks. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi18030174
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen et al. • Conference on Empirical Methods in Natural Language Processing (EMNLP)
(2023)
Spurred by advancements in scale, large language models (LLMs) have demonstrated the ability to perform a variety of natural language processing (NLP) tasks zero-shot-i.e., without adaptation on downstream data.Recently, the debut of ChatGP...
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DOI: https://doi.org/10.18653/v1/2023.emnlp-main.85
Matthew N. O. Sadiku, Yu Zhou, Sarhan M. Musa • International Journal of Advanced Research in Computer Science and Software Engineering
(2018)
Natural language processing (NLP) refers to the process of using of computer algorithms to identify key elements in everyday language and extract meaning from unstructured spoken or written communication. Healthcare is the biggest user of t...
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DOI: https://doi.org/10.23956/ijarcsse.v8i5.626