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Academic Articles & Research Papers
Showing 20 of 1,992 academic articles
V. Vishnuprabha, Lino Murali, Daleesha M Viswanathan • Apple Academic Press eBooks
(2021)
Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...
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DOI: https://doi.org/10.1201/9781003082033-19
Tichakorn NETSUWAN, Kraisak KESORN • Walailak Journal of Science and Technology
(2017)
This research presents online crime news analysis using text mining, Natural Language Processing framework (General Framework for Text Mining: GATE), and data warehouse (DW) technologies. The proposed framework aims at extracting key featur...
DOAJ
Open Access (DOAJ)
Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge et al. • Advanced Intelligent Systems
(2024)
Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/aisy.202300678
Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports
(2021)
Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-021-88027-8
Danielle Ryder • Discover Artificial Intelligence
(2026)
Abstract This paper proposes a hierarchy of epistemic betrayal that distinguishes deceptive behaviors in large language models (LLMs) by the depth at which the infrastructure for epistemic correction is compromised. Drawing on Park et al.’s...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01438-2
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
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
Michael Piotrowski • Journal of European Periodical Studies
(2019)
Serial sources such as records, registers, and inventories are the ‘classic’ sources for quantitative history. Unstructured, narrative texts such as newspaper articles or reports were out of reach for historical analyses, both for practical...
DOAJ
Open Access (DOAJ)
DOI: 10.21825/jeps.v4i1.10226
Tristan Millington, Saturnino Luz • Frontiers in Computer Science
(2021)
In this paper we construct word co-occurrence networks from transcript data of controls and patients with potential Alzheimer’s disease using the ADReSS challenge dataset of spontaneous speech. We examine measures of the structure of these ...
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Open Access (DOAJ)
DOI: 10.3389/fcomp.2021.649508
Guillaume Loignon • Mesure et Évaluation en Éducation
(2021)
Estimating language complexity is an important aspect of educational measurement and assessment that can be used, for instance, to control for unwanted variance due to language, or to provide students with texts that are conducive to learni...
DOAJ
Open Access (DOAJ)
DOI: 10.7202/1095682ar
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
Kai Wang, Kunjian Wen, Yanping Chen, Yongbin Qin • Scientific Reports
(2025)
Abstract Mapping a sentence into a two-dimensional (2D) representation can flatten nested semantic structures and build multi-granular span dependencies in named entity recognition. Existing approaches to recognizing named entities often cl...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-87722-0
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 ...
DOAJ
Open Access (DOAJ)
DOI: 10.22108/jas.2025.144379.2609
Liping Zhao, Waad Alhoshan, Alessio Ferrari, Keletso J. Letsholo et al. • ACM Computing Surveys
(2021)
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, and resources to the requirements engineering (RE) process, to...
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Open Access
DOI: https://doi.org/10.1145/3444689
Robert Dale, Hermann L. Moisl, HAROLD L. SOMERS • Computational Linguistics
(2001)
Symbolic approaches to natural language processing tokenisation and sentence segmentation lexical analysis parsing techniques semantic analysis discourse structure and intention recognition natural language generation intelligent writing as...
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Open Access
DOI: https://doi.org/10.1162/coli.2000.27.4.602
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris, Sharon W. Kwan • JAMA Oncology
(2016)
IMPORTANCE: Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest im...
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DOI: https://doi.org/10.1001/jamaoncol.2016.0213
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
Julia Hirschberg, Christopher D. Manning • Science
(2015)
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the lin...
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DOI: https://doi.org/10.1126/science.aaa8685
Prakash M. Nadkarni, Lucila Ohno-machado A, Wendy W. Chapman • Journal of the American Medical Informatics Association
(2011)
OBJECTIVES: To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. TARGET AUDIENCE: This tutorial targets the medical informatics generalist who has limited acquaintance with the principles be...
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Open Access
DOI: https://doi.org/10.1136/amiajnl-2011-000464
PMC: 3168328