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Academic Articles & Research Papers
Showing 20 of 3,028 academic articles
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
Tyrone Chen, Anton Y. Peleg, Sonika Tyagi • Scientific Reports
(2025)
Abstract To efficiently and accurately understand, detect, and treat sepsis, we require a deep understanding of how its underlying biological systems work. Conventional methods struggle to provide a detailed view of both the functional and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-16701-2
Rishi V. Parikh, Alan S. Go, Ankeet S. Bhatt, Thida C. Tan et al. • Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
(2023)
Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Resul...
DOAJ
Open Access (DOAJ)
DOI: 10.1161/JAHA.122.029736
Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu et al. • Information
(2024)
Online platforms have become the primary means for travellers to search, compare, and book accommodations for their trips. Consequently, online platforms and revenue managers must acquire a comprehensive comprehension of these dynamics to f...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info15070398
Eric Brill, Raymond J. Mooney • AI Magazine
(1997)
In recent years, there has been a resurgence in research on empirical methods in natural language processing. These methods employ learning techniques to automatically extract linguistic knowledge from natural language corpora rather than r...
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DOI: https://doi.org/10.1609/aimag.v18i4.1318
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
Ralph Grishman • Journal of the American Society for Information Science
(1984)
Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...
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DOI: https://doi.org/10.1002/asi.4630350507
Tamas E. Doszkocs • Journal of the American Society for Information Science
(1986)
The role and contributions of natural-language processing in information-retrieval and artificial-intelligence research is examined in the context of large operational information-retrieval systems and services. State-of-the-art information...
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DOI: https://doi.org/10.1002/(sici)1097-4571(198607)37:4<191::aid-asi3>3.0.co;2-y
Soumitra Dutta • Elsevier eBooks
(1993)
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DOI: https://doi.org/10.1016/b978-0-7506-1612-6.50016-x
Kenneth Church, Lisa F. Rau • Communications of the ACM
(1995)
Vast quantities of text are becoming available in electronic form, ranging from published documents (e.g., electronic dictionaries, encyclopedias, libraries and archives for information retrieval services), to private databases (e.g., marke...
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Open Access
DOI: https://doi.org/10.1145/219717.219778
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
Peter Bosch, Rob van der Sandt (1995)
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Zhiqiang Zeng, Hua Wang Shi, Yun Wu, Zhiling Hong • Computational and Mathematical Methods in Medicine
(2015)
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives....
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DOI: https://doi.org/10.1155/2015/674296
PMC: 4615216
Elsa Olivetti, Jacqueline M. Cole, Edward Kim, Olga Kononova et al. • Applied Physics Reviews
(2020)
Given the emergence of data science and machine learning throughout all aspects of society, but particularly in the scientific domain, there is increased importance placed on obtaining data. Data in materials science are particularly hetero...
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other-oa
DOI: https://doi.org/10.1063/5.0021106
Marvin Carl May, Jan Neidhöfer, Tom Körner, Louis Schäfer et al. • Procedia CIRP
(2022)
Despite great progress in the digitization of the industrial sector through Industry 4.0 and widely available data, data analysis is typically constrained to numerical data, not the synthesis of knowledge. Although valuable employee knowled...
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DOI: https://doi.org/10.1016/j.procir.2022.10.071
David P. Morgan, Christopher L. Scofield • Springer eBooks
(1991)
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DOI: https://doi.org/10.1007/978-1-4615-3950-6_8
Kenneth Church • DSpace@MIT (Massachusetts Institute of Technology)
(1982)
This paper proposes a welcome hypothesis: a computationally simple device is sufficient for processing natural language. Traditionally it has been argued that processing natural language syntax requires very powerful machinery. Many enginee...
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Walter M. P. Daelemans, Koenraad De Smedt, Gerald J. M. Gazdar • OLAC - Open Language Archives Community
(1992)
In this introduction to the special issues, we begin by outlining a concrete example that indicates some of the motivations leading to the widespread use of inheritance networks in computational linguistics. This example allows us to illust...
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DOI: https://doi.org/10.5555/142235.142243
Enrico Franconi B • Cambridge University Press eBooks
(2007)
In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...
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DOI: https://doi.org/10.1017/cbo9780511711787.017
Kealeboga Aiseng • Emerging Media
(2026)
This study examines the influence of artificial intelligence (AI)-driven media platforms on South Africa's indigenous languages—Setswana, Tshivenda, and Xitsonga—in the country's diverse linguistic environment. It examines how algorithmic b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/27523543261447913