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Data augmentation techniques in natural language processing

Lucas Francisco Amaral Orosco Pellicer, Taynan Maier Ferreira, Anna Helena Reali Costa • Applied Soft Computing (2022)

Data Augmentation (DA) methods – a family of techniques designed for synthetic generation of training data – have shown remarkable results in various Deep Learning and Machine Learning tasks. Despite its widespread and successful adoption w...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.asoc.2022.109803

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

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

Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine

Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media (2024)

Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...

DOAJ Open Access (DOAJ) DOI: 10.5771/2192-4007-2024-1-72

MFSM: Chinese-English sentence alignment based on multi- feature self-attention mechanism fusion

Baolong Li • Journal of Applied Science and Engineering (2025)

Bilingual parallel corpora is a very important basic resource in the research field of natural language processing based on statistics. There are cross alignment and empty alignment in Chinese-English bilingual text, it is easy to affect th...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202510_28(10).0005

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access (2025)

Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530949

Research on application of GPS-based wireless communication system in highway landslide

Zhiwen Xiong • EURASIP Journal on Wireless Communications and Networking (2021)

Abstract Machine learning is a branch of the field of artificial intelligence. Deep learning is a complex machine learning algorithm that has unique advantages in image recognition, speech recognition, natural language processing, and indus...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13638-021-02038-7

Text Filtering through Multi-Pattern Matching: A Case Study of Wu–Manber–Uy on the Language of Uyghur

Turdi Tohti, Jimmy Huang, Askar Hamdulla, Xing Tan • Information (2019)

Given its generality in applications and its high time-efficiency on big data-sets, in recent years, the technique of text filtering through pattern matching has been attracting increasing attention from the field of information retrieval a...

DOAJ Open Access (DOAJ) DOI: 10.3390/info10080246

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Mapping inequities in global vaccine sentiment research

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...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjgh-2024-018587

Natural language processing for information assurance and security

Mikhail J. Atallah, Craig Jerome Mcdonough, Victor Raskin, Sergei Nirenburg • New Security Paradigms Workshop (2001)

This research paper explores a promising interface between natural language processing (NLP) and information assurance and security (IAS). More specificall~ it is devoted to possible applications to, and further dedicated development of, th...

OPENALEX DOI: https://doi.org/10.1145/366173.366190

Natural language processing applied to mental illness detection: a narrative review

Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou • npj Digital Medicine (2022)

Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41746-022-00589-7 PMC: 8993841