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Construction of a knowledge graph for the educational statistical indicator system based on large language models

WANG Pengyu, JIANG Shuming, WEI Zhiqiang, YU Jun, ZHANG Mengmeng • Shandong kexue (2026)

Current statistical work in the field of educational development faces challenges such as low knowledge-retrieval efficiency and high technical barriers to data utilization. This study focuses on the knowledge related to the indicator syste...

DOAJ Open Access (DOAJ) DOI: 10.3976/j.issn.1002-4026.2025079

DEVELOPMENT OF A QUESTION ANSWERING CHATBOT FOR BLOCKCHAIN DOMAIN

Aigerim Mansurova, Aliya Nugumanova, Zhansaya Makhambetova • Scientific Journal of Astana IT University (2023)

Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their ...

DOAJ Open Access (DOAJ) DOI: 10.37943/15XNDZ6667

Semantic Alignment in Disciplinary Tutoring System: Leveraging Sentence Transformer Technology

Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab, Nada Mimouni • Inteligencia Artificial (2024)

In this work, we present a disciplinary e-tutoring system that integrates ONTO-TDM, an ontology designed for teaching domain modeling, with advanced transformer technology. Our primary objective is to enhance semantic similarity tasks withi...

DOAJ Open Access (DOAJ)

Natural language processing

Ralph Grishman • Journal of the American Society for Information Science (1984)

Abstract Natural language processing has two primary roles to play in the storage and retrieval of large bodies of information: providing a friendly, easily‐learned interface to information retrieval systems, and automatically structuring t...

OPENALEX DOI: https://doi.org/10.1002/asi.4630350507

Applying Natural Language Processing in Manufacturing

Marvin Carl May, Jan Neidhöfer, Tom Körner, Louis Schäfer et al. • Procedia CIRP (2022)

Despite great progress in the digitization of the industrial sector through Industry 4.0 and widely available data, data analysis is typically constrained to numerical data, not the synthesis of knowledge. Although valuable employee knowled...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.procir.2022.10.071

Natural Language Processing

Enrico Franconi B • Cambridge University Press eBooks (2007)

In most natural language processing applications, Description Logics have been used to encode in a knowledge base some syntactic, semantic, and pragmatic elements needed to drive the semantic interpretation and the natural language generati...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511711787.017

Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed

Wang, Jing, Deng, Huan, Liu, Bangtao, Hu, Anbin et al. • Journal of Medical Internet Research (2020)

BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...

DOAJ Open Access (DOAJ) DOI: 10.2196/16816

Economic Activity Forecasting Based on the Sentiment Analysis of News

Mantas Lukauskas, Vaida Pilinkienė, Jurgita Bruneckienė, Alina Stundžienė et al. • Mathematics (2022)

The outbreak of war and the earlier and ongoing COVID-19 pandemic determined the need for real-time monitoring of economic activity. The economic activity of a country can be defined in different ways. Most often, the country’s economic act...

DOAJ Open Access (DOAJ) DOI: 10.3390/math10193461

Urdu poetry and Eco Criticism

Saima aslam • بازیافت (2023)

 Eco-criticism is relatively considered a new term in Urdu literature although a brief review of Urdu literature particularly poetry indicates that environmental problems have always been critically observed by the literary minds. Eco...

DOAJ Open Access (DOAJ) DOI: 10.57156/bazyaft4216017

Essai d’analyse des Annales Africaines de Médecine

Hubert Mwembie Bangata-Mbata & Gilbert Ipala Tekoyindula • Ziglôbitha (2024)

Résumé : Notre étude porte sur le périodique scientifique intitulé Annales Africaines de Médecine. Par son abondante production scientifique, ce périodique constitue un véritable vecteur de diffusion de l’information scientifique et un outi...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n010.25.2024

MedScan, a natural language processing engine for MEDLINE abstracts

Svetlana Novichkova, Sergei Egorov, Nikolai Daraselia • Bioinformatics (2003)

MOTIVATION: The importance of extracting biomedical information from scientific publications is well recognized. A number of information extraction systems for the biomedical domain have been reported, but none of them have become widely us...

OPENALEX Open Access DOI: https://doi.org/10.1093/bioinformatics/btg207

Large Language Models and the Elliott Wave Principle: A Multi-Agent Deep Learning Approach to Big Data Analysis in Financial Markets

Michał Wawer, Jarosław A. Chudziak, Ewa Niewiadomska-Szynkiewicz • Applied Sciences (2024)

Traditional technical analysis methods face limitations in accurately predicting trends in today’s complex financial markets. Meanwhile, existing AI-driven approaches, while powerful in processing large datasets, often lack interpretability...

DOAJ Open Access (DOAJ) DOI: 10.3390/app142411897

L’IGF A L’EPREUVE DU CONTROLE SYSTEMIQUE ET DE LA DIGITALISATION : MUTATIONS DU CONTROLE FINANCIER PUBLIC EN RDC (2020-2027)

Drisceince MUTINDU CLAUDE, Raoul KIENGE-KIENGE INTUDI & Joël NZAMPUNGU IMBOLE • Ziglôbitha (2026)

Résumé : Cette étude analyse la transformation de l’Inspection Générale des Finances (IGF) de la RDC à travers les réformes de 2020-2023 et l’annonce de son plan stratégique 2025-2027 articulant contrôle systémique et digitalisation. A part...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n018.23.vol.3.2026

Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

Yiwen Shi, Ping Ren, Yi Zhang, Xiajing Gong et al. • Frontiers in Research Metrics and Analytics (2021)

Towards the objectives of the UnitedStates Food and Drug Administration (FDA) generic drug science and research program, it is of vital importance in developing product-specific guidances (PSGs) with recommendations that can facilitate and ...

DOAJ Open Access (DOAJ) DOI: 10.3389/frma.2021.670006

Influence in the caption: how mega influencers use language in sponsored Instagram posts

Safura Mohamed Kallier-Tar, Monique Du Bruyn • Frontiers in Communication (2026)

Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomm.2026.1799090