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Showing 20 of 445 academic articles

Natural language processing with transformers: a review

Georgiana Țucudean, Marian Bucos, Bogdan Drăgulescu, Cătălin Daniel Căleanu • PeerJ Computer Science (2024)

Natural language processing (NLP) tasks can be addressed with several deep learning architectures, and many different approaches have proven to be efficient. This study aims to briefly summarize the use cases for NLP tasks along with the ma...

OPENALEX cc-by DOI: https://doi.org/10.7717/peerj-cs.2222 PMC: 11322986

Arabic Natural Language Processing

Nizar Y. Habash (2022)

The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL).This tutorial provides NLP/CL system developers and researchers (computer scientists a...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2022.emnlp-tutorials.2

Natural Language Processing and Semantical Representation of Medical Texts

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

A bibliometric analysis of natural language processing in medical research

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...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

Natural language processing in an operational clinical information system

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

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

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

D‐BERT: Incorporating dependency‐based attention into BERT for relation extraction

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...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12033

Emergency department triaging using ChatGPT based on emergency severity index principles: a cross-sectional study

Cansu Colakca, Mehmet Ergın, Habibe Selmin Ozensoy, Alp Sener et al. • Scientific Reports (2024)

Abstract Erroneous and delayed triage in an increasingly crowded emergency department (ED). ChatGPT is an artificial intelligence model developed by OpenAI® and is being trained for use in natural language processing tasks. Our study aims t...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-73229-7

Quantifying Gender Bias in Large Language Models Using Information-Theoretic and Statistical Analysis

Imran Mirza, Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari • Information (2025)

Large language models (LLMs) have revolutionized natural language processing across diverse domains, yet they also raise critical fairness and ethical concerns, particularly regarding gender bias. In this study, we conduct a systematic, mat...

DOAJ Open Access (DOAJ) DOI: 10.3390/info16050358

Natural Language Processing Techniques for Text Classification of Biomedical Documents: A Systematic Review

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

Unlocking Clinical Data from Narrative Reports: A Study of Natural Language Processing

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

Advancements in natural language processing: Implications, challenges, and future directions

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

Natural Language Processing in Psychiatry

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