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Academic Articles & Research Papers
Showing 20 of 1,870 academic articles
Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health
(2022)
BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2022.850619
Qingxia Chen • Discover Artificial Intelligence
(2025)
Abstract This study explores the application of artificial intelligence (AI) in improving the trial efficiency of criminal cases. Using a dataset consisting of 500 criminal case records, including minor, ordinary, and complex cases, we appl...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00353-2
Peter Paschke • Linguistik Online
(2021)
German sentences with man and Italian sentences with si impersonale or si passivante are often presented as equivalent in contrastive grammars. However, this functional equation proves to be problematic when Italian students refer with man ...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/lo.111.8246
Jim Barnett, Kevin K. Knight, Inderjeet Mani, Elaine A. Rich • Communications of the ACM
(1990)
KBNL is a knowledge-based natural language processing system that is novel in several ways, including the clean separation it enforces between linguistic knowledge and world knowledge, and its use of knowledge to aid in lexical acquisition....
OPENALEX
Open Access
DOI: https://doi.org/10.1145/79173.79177
Louise Guthrie, James D. Pustejovsky, Yorick Alexander Wilks, Brian M. Slator • Communications of the ACM
(1996)
article Free AccessThe role of lexicons in natural language processing Authors: Louise Guthrie Lockheed Martin Text Exploitation Group Lockheed Martin Text Exploitation GroupView Profile , James Pustejovsky Brandeis Univ., Waltham Brandeis ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/234173.234204
Robert H Baud, A M Rassinoux, Jean Raoul Scherrer • Methods of Information in Medicine
(1992)
For medical records, the challenge for the present decade is Natural Language Processing (NLP) of texts, and the construction of an adequate Knowledge Representation. This article describes the components of an NLP system, which is currentl...
OPENALEX
DOI: https://doi.org/10.1055/s-0038-1634865
Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making
(2018)
BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...
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DOI: https://doi.org/10.1186/s12911-018-0594-x
PMC: 5872501
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...
OPENALEX
DOI: https://doi.org/10.1017/s1351324900000061
Mahmoud S. Mayaleh, Samer A. Mayaleh • Discover Artificial Intelligence
(2026)
Abstract Small-scale sentiment classification often suffers from data scarcity, which limits the generalization ability of the models. This study evaluates and compares the effectiveness of three data augmentation strategies: Easy Data Augm...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-025-00813-9
Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics
(2026)
Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14020299
Yuan Huang, Zhixing Li, Wei Deng, Guoyin Wang et al. • CAAI Transactions on Intelligence Technology
(2021)
Abstract Relation extraction between entity pairs is an increasingly critical area in natural language processing. Recently, the pre‐trained bidirectional encoder representation from transformer (BERT) performs excellently on the text class...
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Open Access (DOAJ)
DOI: 10.1049/cit2.12033
Cyrille YetuYetu Kesiku, Andrea Chaves-Villota, Begonya Garcia-Zapirain • Information
(2022)
The classification of biomedical literature is engaged in a number of critical issues that physicians are expected to answer. In many cases, these issues are extremely difficult. This can be conducted for jobs such as diagnosis and treatmen...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13100499
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...
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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...
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cc-by
DOI: https://doi.org/10.1016/j.teler.2024.100173
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...
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cc-by-nc
DOI: https://doi.org/10.31695/ijasre.2018.32708
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
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
Hind Alamro, Takashi Gojobori, Magbubah Essack, Xin Gao • Scientific Reports
(2024)
Abstract The rapid increase in biomedical publications necessitates efficient systems to automatically handle Biomedical Named Entity Recognition (BioNER) tasks in unstructured text. However, accurately detecting biomedical entities is quit...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-58334-x
Anke Holler, Anna Mareike Weimer, Benjamin Gittel, Caroline Sporleder et al. • Journal of Computational Literary Studies
(2024)
The paper analyses within-fiction reflections in 250 years of literary history. To this end, we formalised the concept of “reflective passage”, demonstrate how our annotation categories are deduced from literary theory and derive three subp...
DOAJ
Open Access (DOAJ)
DOI: 10.48694/jcls.3861