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Showing 20 of 962 academic articles
Ivano Lauriola, Alberto Lavelli, Fabio Aiolli • Neurocomputing
(2021)
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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...
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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
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
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
Jawanpuria, Pratik, Balgovind, Arjun, Kunchukuttan, Anoop, Mishra, Bamdev • Transactions of the Association for Computational Linguistics
(2019)
We propose a novel geometric approach for learning bilingual mappings given monolingual embeddings and a bilingual dictionary. Our approach decouples the source-to-target language transformation into (a) language-specific rotations on the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1162/tacl_a_00257
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/43349
Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management
(2022)
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...
DOAJ
Open Access (DOAJ)
Roberto Zamparelli • IJCoL
(2024)
Thanks to independent advances in language and image generation, we could soon be in the position to have systems that communicate with us by combining language and images in their output, a skill that humans do not possess (we receive, but...
DOAJ
Open Access (DOAJ)
Svitlana Sokolova • Cognitive Studies | Études cognitives
(2022)
The article analyses the situational change in the language behaviour (code switching) of representatives from different regions of Ukraine based on the data of a statistically significant mass survey of the adult population of different re...
DOAJ
Open Access (DOAJ)
DOI: 10.11649/cs.2649