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Showing 20 of 1,656 academic articles
Anna-Maria De Cesare • Linguistik Online
(2026)
As has been shown in various studies considering different languages, in professional contexts women tend to be referred to differently than men. While men are typically referred to by their surname (e. g., Fermi), women are more often refe...
DOAJ
Open Access (DOAJ)
DOI: 10.13092/tsh3js82
Mehdi Yekrangi, Nikola S. Nikolov • IEEE Access
(2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3293733
Aysenur Arpaci, Asel Usdat Ozturk, Ismail Okur, Sanaz Sadry • BMC Oral Health
(2025)
Abstract Background The field of artificial intelligence (AI) has experienced considerable growth in recent years, with the advent of technologies that are transforming a range of industries, including healthcare and dentistry. Large langua...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12903-025-06624-9
Gaurav Mohindru, Koushik Mondal, Haider Banka • CAAI Transactions on Intelligence Technology
(2021)
Abstract In the era of automatic task processing or designing complex algorithms, to analyse data, it is always pertinent to find real‐life solutions using cutting‐edge tools and techniques to generate insights into the data. The data‐drive...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cit2.12032
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...
OPENALEX
cc-by
DOI: https://doi.org/10.18653/v1/w19-5034
裕二 池谷, Robert Tinn, Hao Cheng, MICHAEL A. LUCAS et al. • ACM Transactions on Computing for Healthcare
(2021)
Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web. A prevailing a...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3458754
Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University)
(2021)
Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.2112.14168
Sangyeop Yeo, Yu-Seung Ma, Sang Cheol Kim, Hyungkook Jun et al. • ETRI Journal
(2024)
Large language models (LLMs) have revolutionized various applications in natural language processing and exhibited proficiency in generating programming code. We propose a framework for evaluating the code generation ability of LLMs and int...
DOAJ
Open Access (DOAJ)
DOI: 10.4218/etrij.2023-0357
Albert Ntumba Nkongolo, Yae Olatoundji Gaba, Kafunda Katalay Pierre, Esther Matendo Mabela et al. • Journal of Innovation Information Technology and Application
(2025)
This study explores the application of natural language processing (NLP) techniques in financial time series forecasting, specifically in predicting stock prices. Historical stock price data and textual data from financial news articles and...
DOAJ
Open Access (DOAJ)
DOI: 10.35970/jinita.v7i1.2290
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
Nana A Mensah, Michael J Fassett, Nehaa Khadka, Jiaxiao M Shi et al. • JMIR Research Protocols
(2025)
BackgroundHemolytic disease of the fetus and newborn (HDFN) is a rare but serious condition caused by maternal-fetal red blood cell antigen incompatibility. In an affected pregnancy, maternal immunoglobulin G antibodies cross the placenta a...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/77836
Priyal Singhal, Praneet Saurabh, Mayank Sharma, Jyoti Badge et al. • Discover Artificial Intelligence
(2026)
Abstract Air pollution constitutes one of the most pressing environmental and public health crises of the twenty-first century, disproportionately affecting rapidly urbanising nations such as India. Accurate prediction of the Air Quality In...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-02131-0
Shima Javanmardi, Ali Mohammad Latif, Mohammad Taghi Sadeghi, Mehrdad Jahanbanifard et al. • Sensors
(2022)
In image captioning models, the main challenge in describing an image is identifying all the objects by precisely considering the relationships between the objects and producing various captions. Over the past few years, many methods have b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s22218376
Cristian Soto Jacome, MD, Danny Segura Torres, MD, Jungwei W. Fan, PhD, Ricardo Loor-Torres, MD et al. • Mayo Clinic Proceedings: Digital Health
(2024)
Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS). Patients and Methods: Between 2017 and 2021, we identified 18...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.mcpdig.2024.01.001
Zexian Zeng, Yu Deng, Xiaoyu Li, Tristan Naumann et al. • IEEE Transactions on Computational Biology and Bioinformatics
(2018)
This article reviews recent advances in applying natural language processing (NLP) to Electronic Health Records (EHRs) for computational phenotyping. NLP-based computational phenotyping has numerous applications including diagnosis categori...
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Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
Oi Yee Kwong • Routledge eBooks
(2023)
The primary concern of natural language processing is the design and implementation of computational systems for analysing and understanding human languages to automate certain real-life tasks demanding human language abilities. It is typic...
OPENALEX
DOI: https://doi.org/10.4324/9781003168348-41
Simov Kiril, Osenova Petya • Cybernetics and Information Technologies
(2018)
With the availability of large language data online, cross-linked lexical resources (such as BabelNet, Predicate Matrix and UBY) and semantically annotated corpora (SemCor, OntoNotes, etc.), more and more applications in Natural Language Pr...
DOAJ
Open Access (DOAJ)
DOI: 10.2478/cait-2018-0008
Rashmi Patel, Miguel E Rentería, Soon Nan Wee, Rajagopalan Ramaswamy et al. • BMJ Open
(2022)
Purpose NeuroBlu is a real-world data (RWD) repository that contains deidentified electronic health record (EHR) data from US mental healthcare providers operating the MindLinc EHR system. NeuroBlu enables users to perform statistical analy...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjopen-2021-057227
Sumaya Mustafa, Mariwan Hama Saeed • Journal of Electrical Systems and Information Technology
(2025)
Abstract Artificial intelligence (AI) models have demonstrated significant success in classifying various types of text. However, the complex nature of these models often complicates the interpretability of their classifications. To address...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s43067-025-00273-2
Zabir Al Nazi, Wei Peng • Informatics
(2024)
The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable ability to provide proficient responses to free-text queries, demonstrating a nuan...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/informatics11030057