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Academic Articles & Research Papers
Showing 20 of 138 academic articles
Julia El Zini, Mariette Awad • ACM Computing Surveys
(2022)
Despite their success, deep networks are used as black-box models with outputs that are not easily explainable during the learning and the prediction phases. This lack of interpretability is significantly limiting the adoption of such model...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3529755
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...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15052521
Mosima A. Masethe, Sunday O. Ojo, Hlaudi D. Masethe • Computers
(2025)
Meaning conflation deficiency (MCD) presents a continual obstacle in natural language processing (NLP), especially for low-resourced and morphologically complex languages, where polysemy and contextual ambiguity diminish model precision in ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/computers14090402
Arezo Shakeri, Mina Farmanbar • Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
(2025)
Abstract INTRODUCTION Alzheimer's disease (AD) prevalence is increasing, with no current cure. Natural language processing (NLP) offers the potential for non‐invasive diagnostics, social burden assessment, and research advancements in AD. M...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/dad2.70082
Vandeventer Faltin, Anne • Linguistik Online
(2003)
This paper illustrates the usefulness of natural language processing (NLP) tools for computer assisted language learning (CALL) through the presentation of three NLP tools integrated within a CALL software for French. These tools are (i) a ...
DOAJ
Open Access (DOAJ)
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
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
Olaronke G. Iroju, Olaleke Janet • International Journal of Information Technology and Computer Science
(2015)
The healthcare system is a knowledge driven industry which consists of vast and growing volumes of narrative information obtained from discharge summaries/reports, physicians case notes, pathologists as well as radiologists reports.This inf...
OPENALEX
Open Access
DOI: https://doi.org/10.5815/ijitcs.2015.08.07
Jose P. G. Mahedero, Álvaro Parafita Martínez, Pedro Cano, Markus Koppenberger et al. • ACM International Conference on Multimedia (ACM MM)
(2005)
We report experiments on the use of standard natural language processing (NLP) tools for the analysis of music lyrics. A significant amount of music audio has lyrics. Lyrics encode an important part of the semantics of a song, therefore the...
OPENALEX
DOI: https://doi.org/10.1145/1101149.1101255
Erik Cambria, Bebo White • IEEE Computational Intelligence Magazine
(2014)
Natural language processing (NLP) is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. NLP research has evolved from the era of punch cards and batch processing (in which t...
OPENALEX
DOI: https://doi.org/10.1109/mci.2014.2307227
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
Zhonglin Tang, Yihui Zhao, Min Fu, Yuting Wang et al. • Ecological Indicators
(2023)
To better serve the public, urban attractions must understand the public's likes and dislikes and continually adapt and optimize their service in response. However, traditional methods for gauging public opinion, such as questionnaires and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.ecolind.2023.110541
Jingjing Xu • PeerJ Computer Science
(2023)
The college English corpus can help us better master English, but how to obtain the desired information from a large number of English corpus has become the focus of information technology. Based on the natural language processing (NLP) tec...
DOAJ
Open Access (DOAJ)
DOI: 10.7717/peerj-cs.1235
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...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/tcbb.2018.2849968
PMC: 6388621
Michael A. Chary, Saumil Parikh, Alex F. Manini, Edward W. Boyer et al. • Western Journal of Emergency Medicine
(2018)
Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical...
OPENALEX
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DOI: https://doi.org/10.5811/westjem.2018.11.39725
PMC: 6324711
Mohammed Bahja • IntechOpen eBooks
(2020)
Increasing dependency of humans on computer-assisted systems has led to researchers focusing on more effective communication technologies that can mimic human interactions as well as understand natural languages and human emotions. The prob...
OPENALEX
cc-by
DOI: https://doi.org/10.5772/intechopen.92203
Julia Hirschberg, Bruce W. Ballard, Donald M. Hindle • AT&T Technical Journal
(1988)
Researchers in natural language processing (NLP) apply computational techniques to the understanding and generation of human language. Currently, we are focusing on the development of grammatical formalisms and parsing algorithms, appropria...
OPENALEX
DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x
Elizabeth D. Liddy • CRC Press eBooks
(2009)
Natural language processing (NLP) is the computerized approach to analyzing text that is based on both a set of theories and a set of technologies. Although NLP is a relatively recent area of research and application, compared with other in...
OPENALEX
DOI: https://doi.org/10.1081/e-elis3-120008664