Home »
Academic Articles & Research Papers
Showing 20 of 2,365 academic articles
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...
DOAJ
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
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 ...
OPENALEX
DOI: https://doi.org/10.7326/0003-4819-122-9-199505010-00007
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.teler.2024.100173
Wendy W. Chapman, Adi V. Gundlapalli, Brett R. South, John Dowling • Integrated series on information systems/Integrated series in information systems
(2010)
OPENALEX
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...
OPENALEX
DOI: https://doi.org/10.1109/iciscae.2018.8666928
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...
OPENALEX
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...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1038/s41524-025-01554-0
Jalaj Thanaki (2017)
Leverage the power of machine learning and deep learning to extract information from text dataAbout This BookImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implemen...
OPENALEX
Martin Hassel, Hercules Dalianis • IGI Global eBooks
(2011)
Today, with digitally stored information available in abundance, even for many less commonly spoken languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one su...
OPENALEX
public-domain
DOI: https://doi.org/10.4018/978-1-60960-741-8
Thallys da Silva Nogueira, Laisa Marcorela Andreoli Sarte, Priscila Vanessa Zabala Capriles Goliatt • HU Revista
(2024)
Introduction: The COVID-19 pandemic has had a number of impacts on people's daily lives around the world. The radical change in people's daily routines has led to an increase in the use and consumption of social media content. The scenario ...
DOAJ
Open Access (DOAJ)
DOI: 10.34019/1982-8047.2024.v50.44375
Abderrafii KHOUDRI • Revue des Langues, Cultures et Sociétés
(2020)
L’observation des échanges entre soignant et soigné constitue une voie d'accès privilégié pour l'examen de l'organisation des matériaux technolectaux mobilisés dans leurs pratiques discursives. Les analyses des données recueillies révèlent ...
DOAJ
Open Access (DOAJ)
DOI: 10.48384/IMIST.PRSM/lcs-v6i1.21291
Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology
(2025)
Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2023.9010139
Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health
(2025)
IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1588143
WANG Pengyu, JIANG Shuming, WEI Zhiqiang, YU Jun, ZHANG Mengmeng • Shandong kexue
(2026)
Current statistical work in the field of educational development faces challenges such as low knowledge-retrieval efficiency and high technical barriers to data utilization. This study focuses on the knowledge related to the indicator syste...
DOAJ
Open Access (DOAJ)
DOI: 10.3976/j.issn.1002-4026.2025079
Peter E. Jackson, Isabelle Moulinier • Natural language processing
(2002)
Technology practitioners in the Internet space are constantly faced with difficult decision-making as to what research has been done and what the best practices are. This lucid text covers the emerging technologies of document retrieval, in...
OPENALEX
DOI: https://doi.org/10.1075/nlp.5(1st)