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Academic Articles & Research Papers
Showing 20 of 446 academic articles
Yuming Wang, Stephen M Croucher, Stephen M Croucher, Erika Pearson • Frontiers in Communication
(2021)
Twitter is a powerful tool for world leaders to disseminate public health information and to reach citizens. While Twitter, like other platforms, affords world leaders the opportunity to rapidly present information to citizens, the discours...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fcomm.2021.732399
Belal Abuata, Asma Al-Omari • Journal of King Saud University: Computer and Information Sciences
(2015)
Arabic dialects arewidely used from many years ago instead of Modern Standard Arabic language in many fields. The presence of dialects in any language is a big challenge. Dialects add a new set of variational dimensions in some fields like ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jksuci.2014.04.003
Jessica Athens, Setu Mehta, Sophie Wheelock, Nupur Chaudhury et al. • PLoS ONE
(2020)
The growth of administrative data made available publicly, often in near-real time, offers new opportunities for monitoring conditions that impact community health. Urban blight-manifestations of adverse social processes in the urban enviro...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0235227
David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez et al. • Computational Linguistics
(2018)
Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning. A deficit in this area of research is a formal framework for creating, combining, and using models involving graphs that pa...
DOAJ
Open Access (DOAJ)
DOI: 10.1162/COLI_a_00309
• Cambridge University Press eBooks
(1993)
Although natural language processing has come far, the technology has not achieved a major impact on society. Is this because of some fundamental limitation that cannot be overcome? Or because there has not been enough time to refine and ap...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511659478
• Springer eBooks
(2017)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4899-7687-1_100446
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli • Neurocomputing
(2021)
OPENALEX
DOI: https://doi.org/10.1016/j.neucom.2021.05.103
Wenpeng Yin, Katharina Kann, Mo Yu, Hinrich Schütze • arXiv (Cornell University)
(2017)
Deep neural networks (DNN) have revolutionized the field of natural language processing (NLP). Convolutional neural network (CNN) and recurrent neural network (RNN), the two main types of DNN architectures, are widely explored to handle var...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1702.01923
Yasha Hasija, Rajkumar Chakraborty • CRC Press eBooks
(2021)
Natural language processing is a fast-evolving field with popular applications in language translation, speech recognition, text classification, and summarization of text, among others. The central aspect of NLP is vectorizing text data. Te...
OPENALEX
DOI: https://doi.org/10.1201/9781003090113-15-15
Stefano Ferilli • Advances in computer vision and pattern recognition
(2011)
OPENALEX
DOI: https://doi.org/10.1007/978-0-85729-198-1_6
Dina Demner‐Fushman, Wendy W. Chapman, Clement J. McDonald • Journal of Biomedical Informatics
(2009)
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Open Access
DOI: https://doi.org/10.1016/j.jbi.2009.08.007
PMC: 2757540
Kepa Joseba Rodríguez, Michael Bryant, Tobias Blanke, Magdalena Luszczynska (2012)
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Petros Boulieris, John Pavlopoulos, Alexandros Xenos, Vasilis Vassalos • Machine Learning
(2023)
Abstract Automated fraud detection can assist organisations to safeguard user accounts, a task that is very challenging due to the great sparsity of known fraud transactions. Many approaches in the literature focus on credit card fraud and ...
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cc-by
DOI: https://doi.org/10.1007/s10994-023-06354-5
Jake Vasilakes, Sicheng Zhou, Rui Zhang • Elsevier eBooks
(2021)
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DOI: https://doi.org/10.1016/b978-0-12-820273-9.00006-3
Tom Young, Devamanyu Hazarika, Soujanya Poria, Erik Cambria • IEEE Computational Intelligence Magazine
(2018)
Deep learning methods employ multiple processing layers to learn hierarchical representations of data, and have produced state-of-the-art results in many domains. Recently, a variety of model designs and methods have blossomed in the contex...
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Open Access
DOI: https://doi.org/10.1109/mci.2018.2840738
Rada F. Mihalcea, Hugo Liu, Henry A. Lieberman • Lecture notes in computer science
(2006)
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DOI: https://doi.org/10.1007/11671299_34
Orhan Gazi Yalçın • Apress eBooks
(2020)
Natural language processing (NLP) is an interdisciplinary subfield, which has components from major fields such as linguistics, computer science, and artificial intelligence. NLP is mainly concerned with the interaction between humans and c...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-6513-0_9
Eric Brill • Lecture notes in computer science
(2003)
OPENALEX
DOI: https://doi.org/10.1007/3-540-36456-0_37
Serge Linckels, Christoph Meinel • X.media.publishing
(2011)
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DOI: https://doi.org/10.1007/978-3-642-17743-9_4
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15031045