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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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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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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procir.2022.10.071
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
Wang, Jing, Deng, Huan, Liu, Bangtao, Hu, Anbin et al. • Journal of Medical Internet Research
(2020)
BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/16816
Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz et al. • International Journal of Information Management Data Insights
(2024)
While many digital technologies provide opportunities for creating business models that impact sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g. due to high energy ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jjimei.2024.100287
Hubert Mwembie Bangata-Mbata & Gilbert Ipala Tekoyindula • Ziglôbitha
(2024)
Résumé : Notre étude porte sur le périodique scientifique intitulé Annales Africaines de Médecine. Par son abondante production scientifique, ce périodique constitue un véritable vecteur de diffusion de l’information scientifique et un outi...
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Open Access (DOAJ)
DOI: 10.60632/ziglobitha.n010.25.2024
Ehsan Elahi, Jorge Morato, Ana Iglesias • Applied Sciences
(2024)
With the increasing integration of multimedia elements into webpages, videos have emerged as a popular medium for enhancing user engagement and knowledge retention. However, irrelevant or poorly placed videos can hinder readability and dist...
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Open Access (DOAJ)
DOI: 10.3390/app142311055
Zhen Yang, Minjie Xu, Zhangfeng Liu, Da Qin et al. • Dianxin kexue
(2013)
As the major part of big data research, the audio frequency's value has not been discovered. The features of big data, and the automatic speech recognition（ASR）technology were studied, and the value was mined through the method that combine...
DOAJ
Open Access (DOAJ)
Uma Shanker Tiwary, Tanveer Jahan Siddiqui (2008)
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology. The book attempts...
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Svetlana Novichkova, Sergei Egorov, Nikolai Daraselia • Bioinformatics
(2003)
MOTIVATION: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely us...
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Open Access
DOI: https://doi.org/10.1093/bioinformatics/btg207
L. Siddharth, Lucienne T. M. Blessing, Jianxi Luo • Design Science
(2022)
Abstract We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period...
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DOI: https://doi.org/10.1017/dsj.2022.16
Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa • Applied Soft Computing
(2022)
Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.asoc.2022.109803
Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences
(2024)
Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app142411897
Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media
(2024)
Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...
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Open Access (DOAJ)
DOI: 10.5771/2192-4007-2024-1-72
Zhiwen Xiong • EURASIP Journal on Wireless Communications and Networking
(2021)
Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13638-021-02038-7
Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan • Information
(2019)
Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info10080246
Anne Thessen, Hong Cui, Dmitry Mozzherin • Advances in Bioinformatics
(2012)
Centuries of biological knowledge are contained in the massive body of scientific literature, written for human-readability but too big for any one person to consume. Large-scale mining of information from the literature is necessary if bio...
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DOI: https://doi.org/10.1155/2012/391574
PMC: 3364545
Mikhail J. Atallah, Craig Jerome Mcdonough, Victor Raskin, Sergei Nirenburg • New Security Paradigms Workshop
(2001)
This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...
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DOI: https://doi.org/10.1145/366173.366190
Nadia Mushtaq Gardazi, Ali Yusny Daud, Muhammad Kamran Malik, Amal Abdullah Bukhari et al. • Artificial Intelligence Review
(2025)
BERT (Bidirectional Encoder Representations from Transformers) has revolutionized Natural Language Processing (NLP) by significantly enhancing the capabilities of language models. This review study examines the complex nature of BERT, inclu...
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cc-by-nc-nd
DOI: https://doi.org/10.1007/s10462-025-11162-5
Shijie Chen, Yu Zhang, Qiang Yang • ACM Computing Surveys
(2024)
Deep learning approaches have achieved great success in the field of Natural Language Processing (NLP). However, directly training deep neural models often suffer from overfitting and data scarcity problems that are pervasive in NLP tasks. ...
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Open Access
DOI: https://doi.org/10.1145/3663363