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Academic Articles & Research Papers
Showing 20 of 480 academic articles
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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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
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)
Ramteja Sajja, Yusuf Sermet, Ibrahim Demir • Discover Education
(2026)
Abstract Recent advances in AI have catalyzed the adoption of intelligent educational tools, yet many semantic retrieval systems remain ill-suited to the unique linguistic and structural characteristics of academic content. This study prese...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44217-026-01825-y
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...
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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 ...
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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...
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DOI: https://doi.org/10.1007/s11633-022-1331-6
David C. Yen, William S. Davis • CRC Press eBooks
(2019)
This chapter introduces key natural language processing concepts and terminology. The ultimate objective of natural language processing is to allow people to communicate with computers in much the same way they communicate with each other. ...
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DOI: https://doi.org/10.1201/9781420049107-68
Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li • ACM Transactions on Intelligent Systems and Technology
(2020)
With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs are vulne...
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Open Access
DOI: https://doi.org/10.1145/3374217
Kevin Bretonnel Cohen, Dina Demner‐Fushman • Natural language processing
(2014)
Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the per...
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DOI: https://doi.org/10.1075/nlp.11