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Academic Articles & Research Papers
Showing 20 of 441 academic articles
• 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...
OPENALEX
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)
OPENALEX
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)
OPENALEX
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 ...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s10994-023-06354-5
Jake Vasilakes, Sicheng Zhou, Rui Zhang • Elsevier eBooks
(2021)
OPENALEX
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...
OPENALEX
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)
OPENALEX
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)
OPENALEX
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
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)
Yorick Alexander Wilks • Communications of the ACM
(1996)
article Free Access Share on Natural language processing Author: Yorick Wilks View Profile Authors Info & Claims Communications of the ACMVolume 39Issue 1Jan. 1996pp 60–62https://doi.org/10.1145/234173.234180Published:01 January 1996Publica...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/234173.234180
Carol Friedman, Lyudmila Shagina, Yves A. Lussier, George M. Hripcsak • Journal of the American Medical Informatics Association
(2004)
OBJECTIVE: The aim of this study was to develop a method based on natural language processing (NLP) that automatically maps an entire clinical document to codes with modifiers and to quantitatively evaluate the method. METHODS: An existing ...
OPENALEX
Open Access
DOI: https://doi.org/10.1197/jamia.m1552
PMC: 516246
Tianxiang Sun, Xiang-Yang Liu, Xipeng Qiu, Xuanjing Huang • Machine Intelligence Research
(2022)
Abstract In the era of deep learning, modeling for most natural language processing (NLP) tasks has converged into several mainstream paradigms. For example, we usually adopt the sequence labeling paradigm to solve a bundle of tasks such as...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s11633-022-1331-6