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Showing 20 of 480 academic articles
Adam Przepiórkowski, Maciej Ogrodniczuk • Lecture notes in computer science
(2014)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-10888-9
George M. Hripcsak, Carol Friedman, Philip O. Alderson, William DuMouchel et al. • Annals of Internal Medicine
(1995)
OBJECTIVE: To evaluate the automated detection of clinical conditions described in narrative reports. DESIGN: Automated methods and human experts detected the presence or absence of six clinical conditions in 200 admission chest radiograph ...
OPENALEX
DOI: https://doi.org/10.7326/0003-4819-122-9-199505010-00007
Adwait Ratnaparkhi • Scholarly Commons (University of Pennsylvania)
(1997)
Many problems in natural language processing can be viewed as linguistic classification problems, in which linguistic contexts are used to predict linguistic classes. Maximum entropy models offer a clean way to combine diverse pieces of con...
OPENALEX
Open Access
Supriyono Supriyono, Aji Prasetya Wibawa, Suyono Suyono, Fachrul Kurniawan • Telematics and Informatics Reports
(2024)
This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, ext...
OPENALEX
cc-by
DOI: https://doi.org/10.1016/j.teler.2024.100173
David Garfield, CHARLES RAPP, Martha W. Evens • The Journal of Nervous and Mental Disease
(1992)
The potential benefit of artificial intelligence (AI) technology as a tool of psychiatry has not been well defined. In this essay, the technology of natural language processing and its position with regard to the two main schools of AI is c...
OPENALEX
DOI: https://doi.org/10.1097/00005053-199204000-00004
Wendy W. Chapman, Adi V. Gundlapalli, Brett R. South, John Dowling • Integrated series on information systems/Integrated series in information systems
(2010)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4419-6892-0_13
Wei Wang, Jianxun Gang • IEEE International Conference on Information Systems and Computer Aided Education (ICISCAE)
(2018)
Convolutional neural network (Convolutionl Neural Network, CNN) is a multiple-layer neural network method to learn hierarchical characteristic of data. In recent years, CNN has developed rapidly in the design and calculation of natural lang...
OPENALEX
DOI: https://doi.org/10.1109/iciscae.2018.8666928
Cheryl Mary Corcoran, Vijay Anand Mittal, Carrie E. Bearden, Raquel E. Gur et al. • Schizophrenia Research
(2020)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/j.schres.2020.04.032
PMC: 7704556
Matthew N. O. Sadiku, Yu Ping Zhou, Sarhan M. Musa • International Journal of Advances in Scientific Research and Engineering
(2018)
Natural language processing (NLP) refers to the field of study that focuses on the interactions between human language and computers. It is a computational approach to text analysis. It is the application of a wide range of computational te...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.31695/ijasre.2018.32708
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg et al. (2021)
Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg, Malihe Alikhani. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/2021.acl-long.570
Tianrun A. Cai, Andreas A. Giannopoulos, Sheng Yu, Tatiana Kelil et al. • Radiographics
(2016)
The migration of imaging reports to electronic medical record systems holds great potential in terms of advancing radiology research and practice by leveraging the large volume of data continuously being updated, integrated, and shared. How...
OPENALEX
Open Access
DOI: https://doi.org/10.1148/rg.2016150080
PMC: 4734053
Xue Feng Jiang, Weiren Wang, Shaohan Tian, Hao Wang et al. • npj Computational Materials
(2025)
The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems. By leveraging well-characterized datasets derived from the scientific literature, AI-powered too...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1038/s41524-025-01554-0
Jalaj Thanaki (2017)
Leverage the power of machine learning and deep learning to extract information from text dataAbout This BookImplement Machine Learning and Deep Learning techniques for efficient natural language processingGet started with NLTK and implemen...
OPENALEX
Martin Hassel, Hercules Dalianis • IGI Global eBooks
(2011)
Today, with digitally stored information available in abundance, even for many less commonly spoken languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one su...
OPENALEX
public-domain
DOI: https://doi.org/10.4018/978-1-60960-741-8
Timothy R. Brick, Matthias J. Scheutz • ACM/IEEE International Conference on Human-Robot Interaction (HRI)
(2007)
Robots that interact with humans face-to-face using natural language need to be responsive to the way humans use language in those situations. We propose a psychologically-inspired natural language processing system for robots which perform...
OPENALEX
DOI: https://doi.org/10.1145/1228716.1228752
Vera Paola Shoda, Toshimasa Yamanaka • Behavioral Sciences
(2021)
Humor is applied in pedagogy to create a positive learning environment. Recent research focuses on the theories, effects, individual differences, and qualitative aspects of humor for instruction. However, there is a lack of studies focusing...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs12010007
Thallys da Silva Nogueira, Laisa Marcorela Andreoli Sarte, Priscila Vanessa Zabala Capriles Goliatt • HU Revista
(2024)
Introduction: The COVID-19 pandemic has had a number of impacts on people's daily lives around the world. The radical change in people's daily routines has led to an increase in the use and consumption of social media content. The scenario ...
DOAJ
Open Access (DOAJ)
DOI: 10.34019/1982-8047.2024.v50.44375
Sargam Yadav, Abhishek Kaushik, Kevin McDaid • Applied AI Letters
(2026)
ABSTRACT Although artificial intelligence (AI) models have demonstrated great success and efficiency in automatically countering online hate speech and misogyny, they suffer from a lack of explainability and transparency. Explainable artifi...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/ail2.70028
Jianye Xie, Yulan Zhang, Huaizhen Kou, Xiaoran Zhao et al. • Tsinghua Science and Technology
(2025)
Event extraction is an important part of natural language information extraction, and it’s widely employed in other natural language processing tasks including question answering and machine reading comprehension. However, there is a lack o...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2023.9010139
Charlotte M. H. H. T. Bootsma-Robroeks, Charlotte M. H. H. T. Bootsma-Robroeks, Jessica D. Workum, Jessica D. Workum et al. • Frontiers in Digital Health
(2025)
IntroductionThe integration of Large Language Models (LLMs) in Electronic Health Records (EHRs) has the potential to reduce administrative burden. Validating these tools in real-world clinical settings is essential for responsible implement...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1588143