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William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith • Transactions of the Association for Computational Linguistics
(2021)
AbstractLanguage models trained on billions of tokens have recently led to unprecedented results on many NLP tasks. This success raises the question of whether, in principle, a system can ever “understand” raw text without access to some fo...
DOAJ
Open Access (DOAJ)
DOI: 10.1162/tacl_a_00412
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
Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė et al. • Mathematics
(2022)
The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic act...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10193461
Marco Baroni, Alessandro Lenci • Computational Linguistics
(2021)
DOAJ
Open Access (DOAJ)
DOI: 10.1162/coli_a_00016
Saima aslam • بازیافت
(2023)
Eco-criticism is relatively considered a new term in Urdu literature although a brief review of Urdu literature particularly poetry indicates that environmental problems have always been critically observed by the literary minds. Eco...
DOAJ
Open Access (DOAJ)
DOI: 10.57156/bazyaft4216017
Guoyu Zuo, Minghui Zhang, Jingwei Ren, Qifei Wu et al. • CAAI Transactions on Intelligence Technology
(2026)
ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven appr...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.70165
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
Richard Power, Sandra Williams • Computational Linguistics
(2021)
DOAJ
Open Access (DOAJ)
DOI: 10.1162/coli_a_00086
Yue Zhao • Discover Artificial Intelligence
(2026)
Abstract The growing variety of student profiles in higher education has made it more important than ever to have smart systems that can change learning experiences on the job. Current recommendation algorithms fail to capture the complex r...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01500-z
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...
DOAJ
Open Access (DOAJ)
DOI: 10.60632/ziglobitha.n010.25.2024
• Computational Linguistics
(2021)
DOAJ
Open Access (DOAJ)
DOI: 10.1162/089120101317066159
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...
DOAJ
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...
OPENALEX
Roger C. Schank, Alex Kass • Theoretical Issues In Natural Language Processing
(1987)
Article Free Access Share on Natural language processing: what's really involved? Authors: Roger Schank Yale University, New Haven, CT Yale University, New Haven, CTView Profile , Alex Kass Yale University, New Haven, CT Yale University, Ne...
OPENALEX
DOI: https://doi.org/10.3115/980304.980329
• Data & Knowledge Engineering
(1994)
OPENALEX
DOI: https://doi.org/10.1016/0169-023x(94)90017-5
Anushka Gangal, Ayush Shrivastava, Nadia Mahmood Hussien, Prabhishek Singh et al. • AIP conference proceedings
(2023)
OPENALEX
DOI: https://doi.org/10.1063/5.0153960
(2006)
We are delighted to introduce the proceedings of the 11th Conference on Empirical Methods in Natural Language Processing, organized under the auspices of SIGDAT, the ACL Special Interest Group for linguistic data and corpus-based approaches...
OPENALEX
DOI: https://doi.org/10.3115/1610075
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1093/bioinformatics/btg207
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research
(2020)
BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...
OPENALEX
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DOI: https://doi.org/10.2196/15708
PMC: 8132982