Resilience of Named Entity Recognition models against adversarial attacks by Paweł Walkowiak

“…Providing resilience for such kind of risk is key for all Natural Language Processing (NLP) task specific models. Current state of the art solution for one of NLP task Named Entity Recognition (NER) is usage of transformer based solutions. …”
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Insights into Low-Resource Language Modelling: Improving Model Performances for South African Languages by Ruan Visser, Trieko Grobler, Marcel Dunaiski

“…To address the gap in natural language processing for Southern African languages, our paper presents an in-depth analysis of language model development under resource-constrained conditions. …”
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Neural Network Approaches for Distributional Shifts in Environmental Sensors by Tobias Sukianto, Sebastian A. Schober, Cecilia Carbonelli, Simon Mittermaier, Robert Wille

“…We propose a novel transformer-based model architecture inspired by the field of natural language processing, showing advantages compared to other architectures in the presence of distributional shifts.…”
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Medical Cannabis Library: development of a curated database for research articles on cannabis therapeutic activity by Dmitry Rodin, Yael Maizels, Igor Koman

“…The database also categorizes the relationship between cannabinoids and medical conditions as positive, negative, or neutral using natural language processing. This tool streamlines access to cannabis research, aiding professionals in understanding its therapeutic potential across various clinical indications. …”
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The future of oral cancer care: Integrating ChatGPT into clinical practice by Sirwan Khalid Ahmed

“…By utilizing ChatGPT's natural language processing and information synthesis capabilities, healthcare practitioners can enhance decision-making, personalize patient treatment, and improve patient education and support. …”
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Towards Improving Open Student Answer Assessment using Pretrained Transformers by Nisrine Ait Khayi, Vasile Rus, Lasang Tamang

“…The transfer learning pretraining-finetuning  paradigm has revolutionized the natural language processing field yielding state-of the art results in  several subfields such as text classification and question answering. …”
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Mapping Referents in Chinese and Italian: A Corpus-Based Analysis of Anaphora, Deixis, and Other Referential Relations by Morbiato, Anna

“…The results have implications not only from a typological perspective but also for applied fields such as natural language processing and second/foreign language acquisition. …”
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Quantifying Experience with Accented Speech to Study Monolingual and Bilingual School-Aged Children’s Speech Processing by Adriana Hanulíková, Helena Levy

“…Recognizing the importance of input variability in theories of language processing, researchers are now using more nuanced assessments of language experience that go beyond simple ‘monolingual’ versus ‘bilingual’ categories. …”
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Artificial intelligence in civil engineering: emerging applications and opportunities by Taba Nyokum, Yamem Tamut

“…This review provides a comprehensive survey of AI innovations in civil engineering, covering key technologies (machine learning, deep learning, natural language processing, computer vision, robotics, and generative AI) and their applications across design, construction, monitoring, transportation, geotechnical, environmental, and asset management domains. …”
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Building morphological analyzer for Nepali by Shahid Mushtaq Bhat, Rupesh Rai

“… Morphological analyzer is a fundamental tool in Natural Language Processing (NLP) that generates the morphological analyses of a given word-form. …”
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Inter-Annotator Agreement and Its Reflection in LLMs and Responsible AI. by Amir Toliyat, Elena Filatova, Ronak Etemadpour

“… Recent research on Responsible AI, particularly in addressing algorithmic biases, has gained significant attention. Natural Language Processing (NLP) algorithms, which rely on human-generated and human-labeled data, often reflect these challenges. …”
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Artificial Intelligence in Social Media by Azwar M.Q. Agha

“…It examines AI-driven technologies such as natural language processing, computer vision, and machine learning in the context of content moderation, personalized recommendations, sentiment analysis, and user engagement. …”
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The Transformative Impact of Artificial Intelligence in Healthcare: Innovations, applications, and future prospects by Shen Ruoyu

“…This study discusses the transformative applications of AI in healthcare, including how technologies such as machine learning, neural networks, deep learning, and natural language processing can be used for diagnosis, personalized medicine, predictive analytics, virtual health assistants, surgery, and rehabilitation. …”
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Generative IA and complexity – Towards a new paradigm in regenerative digital design by Consuelo Nava, Alessandro Melis

“…The basic premise is that AI’s deep learning and natural language processing capabilities can go beyond simple visual outcomes to address nuanced and multifaceted design challenges.   …”
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Trading Efficiency for Control: the AI Conundrum in Migration Management by Gianluca Iazzolino

“…The second application refers to Natural Language Processing (NLP) and to the integration of voice and speech recognition within a broader repertoire of techniques to automate immigration systems. …”
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AI-Driven Intralingual Translation across Historical Varieties by Fabio Ciambella

“…Drawing from models in linguistics, natural language processing, and historical linguistics, the study investigates the modernization of Early Modern English, using literary and specialized texts to demonstrate AI’s effectiveness in handling complex vocabulary and syntax. …”
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The Role of Digital Platforms in Women’s Entrepreneurial Opportunity Process: Does Online Social Capital Matter? by Rasha Hammad, Rasha El Naggar

“…In the first phase, the researchers use Natural Language Processing (NLP) by analyzing big data on social media communities, followed by a quantitative confirmatory study using SmartPLS 3.3 in the second phase. …”
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Can Language Models Improve the Performance of SVD-based Recommender Systems? by Aaron Goldstein, Ayan Dutta

“…Large Language Models (LLMs) have emerged as one of the most promising tools for natural language processing in recent years. This research proposes a framework that leverages the capabilities of LLMs to enhance movie recommendation systems by refining the recommendations of traditional recommendation systems and integrating them with language-based user preference inputs. …”
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Exploring the impact of mental translation on communicative language teaching and learning in Romanian schools by Daniel Dejica, Adriana Toma

“…By examining the perspectives of teachers and students, the study explores how mental translation can enhance language processing, comprehension, and speaking abilities. …”
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A dataset dedicated to the training of large- language models for agronomic management practices and production in Norwegian agricultureGithubKaggle by Olena Bugaiova, Kristian Nikolai Jæger Hansen

“…The cleaned text data is valuable for training or evaluating Natural Language Processing (NLP) Models in an experimental context in Norway or adapting Large-Language Models (LLM) to the domain of Norwegian agriculture within the Norwegian language.…”
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