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Showing 20 of 23,220 academic articles
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...
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DOI: https://doi.org/10.1201/9781003090113-15-15
Stefano Ferilli • Advances in computer vision and pattern recognition
(2011)
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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...
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DOI: https://doi.org/10.1007/978-1-4842-6513-0_9
Eric Brill • Lecture notes in computer science
(2003)
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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
Tehseen MM, Osenga M, Smith J, Waters AJ et al. • Frontiers in Genetics
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.3389/fgene.2026.1984445
PMC: PMC13739252
Lewis JH, Castellanos I, Tamati TN, Moberly AC • Journal of the American Academy of Audiology
(2024)
PMC
PMC Public Access (View-Only)
DOI: 10.1055/s-0044-1791217
PMC: PMC13737766
McCarty TV, Light JC • American journal of speech-language pathology
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1044/2025_AJSLP-25-00051
PMC: PMC13167065
Wołowicz A, Kocejko M, Gajda A • Trauma, violence & abuse
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/15248380251376350
PMC: PMC13736280
Zhu E, Rose PG, Seabury R, Miller CD et al. • Hospital pharmacy
(2025)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/00185787251390790
PMC: PMC12592105
Gannon J, Li I, Budgeon C, Bell M • Trauma, violence & abuse
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1177/15248380251383934
PMC: PMC13736288
Mathilde Salles • Discours
(2015)
This paper is devoted to some anaphoric operations which are specific to the collection-member relation (e.g., regiment/soldiers, caravan/camels, forest/trees). This relation can be extremely flexible from the anaphoric standpoint, compared...
DOAJ
Open Access (DOAJ)
DOI: 10.4000/discours.8981
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