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Natural Language Processing Advancements By Deep Learning: A Survey

Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo, Nader Tavaf et al. • arXiv (Cornell University) (2020)

Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Recent developments in computational power and the advent of l...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2003.01200

The Social Impact of Natural Language Processing

Dirk Hovy, Shannon Lydia Spruit • Proceedings of the conference - Association for Computational Linguistics. Meeting (2016)

Medical sciences have long since established an ethics code for experiments, to minimize the risk of harm to subjects.Natural language processing (NLP) used to involve mostly anonymous corpora, with the goal of enriching linguistic analysis...

OPENALEX Open Access DOI: https://doi.org/10.18653/v1/p16-2096

Development and External Validation of a Machine Learning Model for Automated Feedback Quality Assessment in Chinese Anesthesiology Residency Training

Yao L, Chen Y, Shen J, Zhang J et al. • Advances in Medical Education and Practice (2026)

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yijun Chen, De...

DOAJ Open Access (DOAJ)

A systematic literature review on spam content detection and classification

Sanaa Kaddoura, Ganesh Chandrasekaran, Daniela Elena Popescu, Jude Hemanth Duraisamy • PeerJ Computer Science (2022)

The presence of spam content in social media is tremendously increasing, and therefore the detection of spam has become vital. The spam contents increase as people extensively use social media, i.e., Facebook, Twitter, YouTube, and E-mail. ...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.830

A Model-Driven Approach Employing DSL and Generation Templates to Accelerate the Development of Conversational Agents for Smart Tourism

Charaf Ouaddi, Lamya Benaddi, Adnane Souha, Hamza Abdelmalek et al. • IEEE Access (2025)

Conversational agents are intelligent, ubiquitous software applications widely used across various sectors, such as commerce, tourism, and more. Their key benefits include automating tasks, improving customer service, and ensuring service a...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3574641

An Introduction to Natural Language Processing

Amir A. Kimia, Guergana Savova, Assaf Landschaft, Marvin B. Harper • Pediatric Emergency Care (2015)

Electronically stored clinical documents may contain both structured data and unstructured data. The use of structured clinical data varies by facility, but clinicians are familiar with coded data such as International Classification of Dis...

OPENALEX DOI: https://doi.org/10.1097/pec.0000000000000484

An Analysis of the Training Data Impact for Domain-Adapted Tokenizer Performances—The Case of Serbian Legal Domain Adaptation

Miloš Bogdanović, Milena Frtunić Gligorijević, Jelena Kocić, Leonid Stoimenov • Applied Sciences (2025)

Various areas of natural language processing (NLP) have greatly benefited from the development of large language models in recent years. This research addresses the challenge of developing efficient tokenizers for transformer-based domain-s...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15137491

Cracking the code: AI’s role in mapping evidence syntheses to the United Nations sustainable development goals

Bianca Pilla, Jennifer Stone, Zoe Jordan • Archives of Public Health (2025)

Abstract Background Understanding the alignment and contributions of research to the United Nations Sustainable Development Goals (UN SDGs) is essential for guiding global progress toward these critical targets. Several SDG mapping approach...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13690-025-01784-0

THE NORTHERN LABOR MARKET IN A RESOURCE-BASED REGIONAL ECONOMY: THE CASE OF THE KHANTY-MANSIYSK AUTONOMOUS OKRUG—YUGRA

Alexander V. Prokopev, Nadezhda V. Puchkova, Natalya V. Timofeeva, Anna V. Simakova et al. • Север и рынок: формирование экономического порядка (2025)

This study examines the labor market of the Khanty-Mansi Autonomous Okrug–Yugra. The relevance of the research stems from the region’s strong dependence on natural resource reserves and production volumes, driven by the dominance of the min...

DOAJ Open Access (DOAJ) DOI: 10.37614/2220-802X.4.2025.90.004

Valorisation of agri-food by-products into bioactive compounds: Green extraction, microbial biotransformation and circular biorefinery strategies

Arjun Mohanakumar, Massimiliano Rinaldi, Jasmine Hadj Saadoun, Camilla Lazzi et al. • Applied Food Research (2026)

Agri-food processing generates large volumes of by-products that remain insufficiently exploited despite their content of phenolic compounds, peptides, polysaccharides, carotenoids, dietary fibres and other functional constituents. These si...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.afres.2026.102511

Mention Detection for Coreference Resolution in Polish. Development of the Formal Grammar

Alicja Wójcicka, Mateusz Kopeć • Cognitive Studies | Études cognitives (2016)

Mention Detection for Coreference Resolution in Polish. Development of the Formal Grammar This paper presents the results of an improvement and extension of the Shallow Grammar of Polish, designed for the needs of the Computer-based Method...

DOAJ Open Access (DOAJ) DOI: 10.11649/cs.2016.012

Natural Language Processing for Smart Healthcare

Binggui Zhou, Guanghua Yang, Zheng Shi, Shaodan Ma • IEEE Reviews in Biomedical Engineering (2022)

Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural ...

OPENALEX Open Access DOI: https://doi.org/10.1109/rbme.2022.3210270

Natural Language Processing

Aravind K. Joshi • Science (1991)

Natural language processing (NLP) is the study of mathematical and computational modeling of various aspects of language and the development of a wide range of systems. These include spoken language systems that integrate speech and natural...

OPENALEX DOI: https://doi.org/10.1126/science.253.5025.1242

Assessing GPT's capabilities in consumer food survey analysis: A comparative approach for understanding food technophobia and novel protein perceptions

Peihua Ma, Si Chen, Wenfan Su, Jiping Sheng et al. • Journal of Agriculture and Food Research (2025)

This study explores the application of GPT models for automating consumer food survey analysis, focusing on Chinese consumers' acceptance of plant-based foods, cultured meat, insect-based proteins, and microbial proteins. Traditional survey...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jafr.2025.102086