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Academic Articles & Research Papers
Showing 14 of 14 academic articles
Sheila May (1991)
Creating and maintaining business relationships providing information to customers/clients researching and presenting information maintaining an established filing system information processing telecommunications and data transmission recep...
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C Friedman, George M. Hripcsak, William DuMouchel, Stephen B. Johnson et al. • Natural Language Engineering
(1995)
Abstract This paper describes a natural language text extraction system, called MEDLEE, that has been applied to the medical domain. The system extracts, structures, and encodes clinical information from textual patient reports. It was inte...
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DOI: https://doi.org/10.1017/s1351324900000061
Miao Jiang, Honghui Chen • Applied Sciences
(2025)
Chinese named entity recognition (NER) is a fundamental natural language processing (NLP) task that involves identifying and categorizing entities in text. It plays a crucial role in applications such as information extraction, machine tran...
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Open Access (DOAJ)
DOI: 10.3390/app15052521
Mark Neumann, Daniel King, Iz Beltagy, Waleed Ammar • BioNLP Workshop and Shared Task (BioNLP)
(2019)
Despite recent advances in natural language processing, many statistical models for processing text perform extremely poorly under domain shift. Processing biomedical and clinical text is a critically important application area of natural l...
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DOI: https://doi.org/10.18653/v1/w19-5034
Gavin Long, Evgeniya Lukinova, John Harvey, Joanne Parkes et al. • International Journal of Population Data Science
(2025)
Introduction & Background
Climate change represents one of the most pressing challenges of our time. Within this context, the food sector is a critical domain for intervention, accounting for approximately one-third of global greenhouse gas...
DOAJ
Open Access (DOAJ)
DOI: 10.23889/ijpds.v10i5.3336
Stuti Patel • International Journal of Science and Research (IJSR)
(2023)
Natural language processing is widely discussed and researched topic nowadays.As it is one of the oldest areas of research in machine leaning it is used in major fields such as machine translation speech recognition and text processing.Natu...
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DOI: https://doi.org/10.21275/sr23216193027
V. Vishnuprabha, Lino Murali, Daleesha M Viswanathan • Apple Academic Press eBooks
(2021)
Understanding and processing human language has always been a complicated task in computational theory. Natural language processing, a combination of artificial intelligence and computational linguistics, employs computational techniques to...
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DOI: https://doi.org/10.1201/9781003082033-19
Yao L, Chen Y, Shen J, Zhang J et al. • Advances in Medical Education and Practice
(2026)
Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...
DOAJ
Open Access (DOAJ)
Aditya Jain, Gandhar Kulkarni, Vraj Shah • International Journal of Computer Sciences and Engineering
(2018)
Natural language processing is widely discussed and researched topic nowadays. As it is one of the oldest area of research in machine learning it is used in major fields such as machine translation speech recognition and text processing. Na...
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DOI: https://doi.org/10.26438/ijcse/v6i1.161167
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Sidharth Mudgal, Han Li, Theodoros Rekatsinas, AnHai Doan et al. • ACM SIGMOD International Conference on Management of Data (SIGMOD)
(2018)
Entity matching (EM) finds data instances that refer to the same real-world entity. In this paper we examine applying deep learning (DL) to EM, to understand DL's benefits and limitations. We review many DL solutions that have been develope...
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DOI: https://doi.org/10.1145/3183713.3196926
Li Deng, Dong Yu • Foundations and Trends® in Signal Processing
(2014)
This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise...
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Open Access
DOI: https://doi.org/10.1561/2000000039
Samira Pouyanfar, Saad B Sadiq, Yilin Yan, Haiman Tian et al. • ACM Computing Surveys
(2018)
The field of machine learning is witnessing its golden era as deep learning slowly becomes the leader in this domain. Deep learning uses multiple layers to represent the abstractions of data to build computational models. Some key enabler d...
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DOI: https://doi.org/10.1145/3234150
Kevin P. Murphy (2012)
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict fu...
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