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Amir A. Kimia, Guergana Savova, Assaf Landschaft, Marvin B. Harper • Pediatric Emergency Care
(2015)
Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Dis...
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DOI: https://doi.org/10.1097/pec.0000000000000484
Sebastian Ruder • Arrow@dit (Dublin Institute of Technology)
(2019)
The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new tasks, new domain...
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Open Access
DOI: https://doi.org/10.13025/17598
Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health
(2025)
Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13690-025-01784-0
Peter Spyns • Methods of Information in Medicine
(1996)
An overview is given of natural language processing applications in medicine. An attempt has been made to enumerate the most important and known international projects and to summarize their goals, principles, methods and results. A section...
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DOI: https://doi.org/10.1055/s-0038-1634681
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
Quentin Lhoest, A. Villanova del Moral, Yacine Jernite, Abhishek Thakur et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2021)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Bra...
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DOI: https://doi.org/10.18653/v1/2021.emnlp-demo.21
Shahzeb Ansari, Haiping Du, Fazel Naghdy, Ayaz Ahmed Hoshu et al. • Safety
(2024)
Driver mental fatigue is considered a major factor affecting driver behavior that may result in fatal accidents. Several approaches are addressed in the literature to detect fatigue behavior in a timely manner through either physiological o...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/safety10010009
CHEN Ao, LI Chen, YAN Jiayun, PENG Liantie et al. • Kongzhi Yu Xinxi Jishu
(2024)
Standardization is one of the key steps to analyze locomotive overhaul data with a focus on reliability-centered maintenance (RCM). However, traditional manual methods encounter challenges such as small sample sizes, non-standardized data f...
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Open Access (DOAJ)
Alicja Wójcicka, Mateusz Kopeć • Cognitive Studies | Études cognitives
(2016)
Mention Detection for Coreference Resolution in Polish. Development of the Formal Grammar
This paper presents the results of an improvement and extension of the Shallow Grammar of Polish, designed for the needs of the Computer-based Method...
DOAJ
Open Access (DOAJ)
DOI: 10.11649/cs.2016.012
Ewoud Pons, Loes Braun, M. G. Myriam Hunink, Jan A. Kors • Radiology
(2016)
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology repo...
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DOI: https://doi.org/10.1148/radiol.16142770
James F. Allen • Wiley eBooks
(2005)
Abstract Natural language processing is a field that explores computational methods for interpreting and processing natural language, in either textual or spoken form....
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DOI: https://doi.org/10.1002/0470018860.s00078
Christopher D. Manning, Hinrich Schütze (1999)
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains al...
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Saleh Rahimi, Faramarz Soheili • جامعه شناسی کاربردی
(2025)
IntroductionBibliometric analysis is widely acknowledged as a robust and systematic approach for examining extensive scholarly literature. It serves as a vital tool for mapping the landscape of contemporary research across various academic ...
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Open Access (DOAJ)
DOI: 10.22108/jas.2025.144379.2609
Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research
(2025)
This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...
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Open Access (DOAJ)
DOI: 10.1016/j.jafr.2025.102086
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf (2019)
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a single dataset. This approach requires a large number of training examples and performs best for well-defined a...
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DOI: https://doi.org/10.18653/v1/n19-5004
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
(2020)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu...
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DOI: https://doi.org/10.18653/v1/2020.emnlp-demos.6
Gobinda G Chowdhury • Annual Review of Information Science and Technology
(2003)
Previous ARIST chapters (Haas, 1996;Warner, 1987) described a number of theoretical developments that have influenced research in NLP.The most recent theoretical developments can be grouped into four classes: (i) statistical and corpus-base...
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Open Access
DOI: https://doi.org/10.1002/aris.1440370103
Yu Wang, Shu Xu, Zenghui Ding, Cong Liu et al. • AI
(2025)
Background/Objectives: Knowledge Graphs (KGs) are often incomplete, which can significantly impact the performance of downstream applications. Manual completion of KGs is time-consuming and costly, emphasizing the importance of developing a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai6070156
Dzakiya Ishmatul Ulya, Anang Kunaefi, Dwi Rolliawati, Bayu Adhi Nugroho • Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
(2023)
QRIS, a mobile payment transaction system standardized by Bank Indonesia, has become the subject of extensive public discourse on Twitter. Employing VADER for sentiment analysis and LDA for topic modeling, this study aims to capture the nua...
DOAJ
Open Access (DOAJ)
DOI: 10.31961/eltikom.v7i2.742
Maedeh Zebardast, Maryam Danaye Tous • Caspian Journal of Neurological Sciences
(2018)
Background: Various factors influence the natural processing of words. The present study sought to investigate the effect of the regularity variable on the reading of words.
Objectives: The participants in the study were 50 normal and 5 aph...
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Open Access (DOAJ)