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Ralph Weischedel, J Carbonell, Barbara J. Grosz, W. Lehnert et al. • Annual Review of Computer Science
(1990)
From the Publisher:
These ten contributions describe the major technical ideas underlying many of the significant advances in natural language processing over the last decade, focusing in particular on the challenges in areas such as knowl...
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DOI: https://doi.org/10.1146/annurev.cs.04.060190.002251
Aleksandra Torbica, Deepak Sharma, Duilio Balsamo, Vittoria Offeddu et al. • BMJ Global Health
(2025)
Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...
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Open Access (DOAJ)
DOI: 10.1136/bmjgh-2024-018587
Christopher Geib, Mark J. Steedman • Edinburgh Research Explorer (University of Edinburgh)
(2007)
The research areas of plan recognition and natural language parsing share many common features and even algorithms. However, the dialog between these two disciplines has not been effective. Specifically, significant recent results in parsin...
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Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli et al. • JMIR Medical Informatics
(2019)
BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...
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DOI: https://doi.org/10.2196/12239
PMC: 6528438
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...
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Open Access (DOAJ)
DOI: 10.1002/dad2.70082
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...
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Open Access
DOI: https://doi.org/10.1145/3458754
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...
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Open Access (DOAJ)
DOI: 10.4218/etrij.2023-0357
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...
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Open Access (DOAJ)
DOI: 10.7717/peerj-cs.1235
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...
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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...
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Open Access (DOAJ)
DOI: 10.1016/j.mcpdig.2024.01.001
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...
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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...
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DOI: https://doi.org/10.1002/j.1538-7305.1988.tb00232.x
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...
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DOI: https://doi.org/10.4324/9781003168348-41
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...
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Open Access (DOAJ)
DOI: 10.3390/informatics11030057
Petros Boulieris, John Pavlopoulos, Alexandros Xenos, Vasilis Vassalos • Machine Learning
(2023)
Abstract Automated fraud detection can assist organisations to safeguard user accounts, a task that is very challenging due to the great sparsity of known fraud transactions. Many approaches in the literature focus on credit card fraud and ...
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DOI: https://doi.org/10.1007/s10994-023-06354-5
Hankiz Yilahun, Hangtian Zhao, Askar Hamdulla • Applied Sciences
(2025)
Few-shot relation extraction (RE) is a critical task in natural language processing (NLP), yet benchmark datasets for non-English languages, particularly Chinese, remain scarce. Owing to their narrow focus and insufficient coverage of relat...
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Open Access (DOAJ)
DOI: 10.3390/app15031045
Jiaqi Fu, Chaixiu Li, Chunlan Zhou, Wenji Li et al. • Journal of Medical Internet Research
(2023)
BackgroundGiven the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews ...
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Open Access (DOAJ)
DOI: 10.2196/43349
Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks
(2020)
With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...
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DOI: https://doi.org/10.1017/9781108332873
Terry Patten, Paul S. Jacobs • IEEE Expert
(1994)
Processing natural language such as English has always been one of the central research issues of artificial intelligence, both because of the key role language plays in human intelligence and because of the wealth of potential applications...
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DOI: https://doi.org/10.1109/64.295134
Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання
(2025)
The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...
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Open Access (DOAJ)
DOI: 10.33407/itlt.v105i1.5905