An Automated Repository for the Efficient Management of Complex Documentation by José Frade, Mário Antunes

“…By harnessing the capabilities of natural language processing (NLP) models—specifically Generative Pre-Trained Transformer (GPT) technologies—the system automates text ingestion, extraction, and summarization, providing users with visual tools and organized insights into large volumes of data. …”
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AI-driven epidemic intelligence: the future of outbreak detection and response by Jasleen Kaur, Jasleen Kaur, Zahid Ahmad Butt

“…This perspective proposes a forward-looking conceptual framework for AI-driven epidemic intelligence, emphasizing the transformative potential of integrating large language models (LLMs), natural language processing (NLP), and optimization-based resource allocation strategies. …”
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Evaluating Adversarial Attacks Against Artificial Intelligence Systems in Application Deployments by Lera Leonteva

“…By providing a practical framework for benchmarking the security of remote AI systems, this study contributes to the understanding of adversarial attacks in the context of natural language processing models deployed by production applications.…”
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Are queries and keys always relevant? A case study on transformer wave functions by Riccardo Rende, Luciano Loris Viteritti

“…The dot product attention mechanism, originally designed for natural language processing tasks, is a cornerstone of modern Transformers. …”
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Holy Quran Kurdish Sorani translation dataset for language modellingMendeley Data by Muhammad Bamoki, Shakhawan Hares Wady, Soran Badawi

“…This paper introduces a manual translation of the Holy Quran into the Kurdish language, specifically designed to aid natural language processing (NLP) research and linguistic analysis. …”
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A Survey of Grapheme-to-Phoneme Conversion Methods by Shiyang Cheng, Pengcheng Zhu, Jueting Liu, Zehua Wang

“…It plays a crucial role in natural language processing, text-to-speech synthesis, and automatic speech recognition systems. …”
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Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization by Nan Chen, Tie Xu, Mingrui Sun, Chenggui Yao, Dongping Yang

“…This paper first reviews the classic model architectures and notable achievements of the transformer in the domains of natural language processing (NLP) and image processing. It then explores performance enhancement strategies and video feature learning methods for the video transformer, considering 4 key dimensions: input module optimization, internal structure innovation, overall framework design, and hybrid model construction. …”
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Spoken language-mediated anticipatory eye-movements are modulated by reading ability - Evidence from Indian low and high literates by Ramesh K. Mishra, Niharika Singh, Aparna Pandey, Falk Huettig

“…In the conclusion, we discuss three potential mechanisms of how reading acquisition and practice may contribute to the differences in predictive spoken language processing between low and high literates.…”
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Exploration of the Efficiency of SLM-Enabled Platforms for Everyday Tasks by Volodymyr Rusinov, Nikita Basenko

“…This study explores the potential of Small Language Models (SLMs) as an efficient and secure alternative to larger models like GPT-4 for various natural language processing (NLP) tasks. With growing concerns around data privacy and the resource-intensiveness of large models, SLMs present a promising solution for research and applications requiring fast, cost-effective, and locally deployable models. …”
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Autism and ADHD Co-Occurrence: A Case report and literature review by Simin Zeynali, Farbod Afghami

“…Although gross motor milestones were achieved on time, the child showed significant deficits in language processing, attention regulation, and adaptive skills, including feeding and toilet training. …”
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Twitter Mentions of February 6th Earthquake: An Emotional Language Analysis by Cemile Uzun

“…Emotion analysis is a natural language processing technique used to identify emotions expressed in a text. …”
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Word Embedding for Semantically Relative Words: an Experimental Study by Maria S. Karyaeva, Pavel I. Braslavski, Valery A. Sokolov

“…Semantically related words are applicable to thesauri, ontologies and intelligent systems for natural language processing.…”
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Annotated textual dataset PV600 of perovskite bandgaps for information extraction from literature by Matilda Sipilä, Farrokh Mehryary, Sampo Pyysalo, Filip Ginter, Milica Todorović

“…Abstract Scientific literature provides a variety of experimental and theoretical data which, if extracted, could offer new opportunities for data-driven discovery in materials research. Natural language processing (NLP) tools enable information extraction (IE) of structured information from unstructured text. …”
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Empathy, bias, and data responsibility: evaluating AI chatbots for gender-based violence support by Borja Sanz Urquijo, María López Belloso, Ainhoa Izaguirre-Choperena

“…Drawing on findings from the European IMPROVE project, the research uses a mixed-methods design combining qualitative narrative interviews with 30 survivors in Spain and quantitative natural language processing metrics. Chatbots were assessed through scenario-based simulations across the GBV cycle, with prompts designed via the Systematic Context Construction and Behavior Specification method to ensure ethical and empathetic alignment. …”
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https://www.revueakofena.com/wp-content/uploads/2025/02/12-M15v04-28-Djamel-Eddine-BELABDLI-Yassmine-BOUKHALKHAL-Djamila-MEHDAOUI_125-136.pdf by Djamel Eddine BELABDLI & Yassmine BOUKHALKHAL & Djamila MEHDAOUI

“…Keywords: Artificial Intelligence (AI), Foreign Language Teaching (FLT), personalized learning, Natural Language Processing (NLP), educational technology,…”
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Detecting Misinformation: Identifying False News Spread by Political Leaders in the Global South by Valerie Wirtschafter, Frederico Batista Pereira, Natália Bueno, Nara Pavão, Jo˜ao Pedro Oliveira dos Santos, Felipe Nunes

“…Our text-based approach relies on a combination of false stories identified by fact-checkers, supervised learning methods, natural language processing, and human review. We contrast our approach with the established domain-based and with Facebook’s URL approaches by applying them in the case of Brazilian political leaders. …”
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Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora by Mina Rajaei Moghadam, Mosab Rezaei, Miguel Williams, Gülşat Aygen, Reva Freedman

“…This paper presents an analysis of the differences between written text and the transcription of spoken text using current Natural Language Processing (NLP) methods. The purpose of the study is to investigate the long and rich history of attempts to differentiate spoken and written text in fields such as linguistics, communication, and rhetoric, which date back to the early 20th century. …”
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A Study of Compressed Language Models in Social Media Domain by Linrui Zhang, Belinda Copus

“…Transfer learning from large-scale language models is witnessing incredible growth and popularity in natural language processing (NLP). However, operating these large models always requires a huge amount of computational power and training effort. …”
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A Comprehensive Survey on AI in Counter-Terrorism and Cybersecurity: Challenges and Ethical Dimensions by Ioannis Syllaidopoulos, Klimis S. Ntalianis, Ioannis Salmon

“…This paper provides a comprehensive overview of AI methodologies, such as predictive analytics, Natural Language Processing (NLP), and machine learning architectures (e.g., Support Vector Machines – SVM and Long Short-Term Memory – LSTM), and optimization algorithms (e.g., Particle Swarm Optimization – PSO), assessing their effectiveness in security applications. …”
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Applications, Challenges, and Future Perspectives of Artificial Intelligence in Psychopharmacology, Psychological Disorders and Physiological Psychology: A Comprehensive Review by Mohammad Hossein Salemi, Elham Foroozandeh, Molouk Khademi Ashkzari

“…Future advancements include refining diagnostics through machine learning and natural language processing and integrating collaborative AI models for holistic, personalized care. …”
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