Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked... by Satoshi Watabe, Tomomi Watanabe, Shuntaro Yada, Eiji Aramaki, Hiroshi Yajima, Hayato Kizaki, Satoko Hori

“…This study aimed to extract multiple concerns from interviews with breast cancer patients using the natural language processing (NLP) model bidirectional encoder representations from transformers (BERT). …”
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The impact of artificial intelligence on research efficiency by Mitra Madanchian, Hamed Taherdoost

“…From literature search to data analysis, to design experiments and manuscript writing, AI-powered tools using robotics, machine learning (ML), and natural language processing (NLP) go a long way in facilitating easy research. …”
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An Adapted Few-Shot Prompting Technique Using ChatGPT to Advance Low-Resource Languages Understanding by Saedeh Tahery, Saeed Farzi

“…The lack of annotated data in low-resource languages presents a significant challenge in natural language processing, particularly for language understanding tasks such as intent detection and slot filling. …”
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Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference. by Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan, Ashley I Heinson

“…Recently, studies have utilised mathematical ideas from natural language processing and self-supervised learning, to derive features based on protein sequence information. …”
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The probabilistic and dynamic nature of perception in human generalization behavior by Kenny Yu, Wolf Vanpaemel, Francis Tuerlinckx, Jonas Zaman

“…Understanding this relationship enhances our knowledge of generalization behavior and has potential implications for various cognitive domains including categorization, motor learning, language processing, and face recognition—all of which rely on generalization as a fundamental cognitive process.…”
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Generalizable deep learning models for predicting laboratory earthquakes by Chonglang Wang, Kaiwen Xia, Wei Yao, Chris Marone

“…Our model employs techniques from natural language processing, including decoder techniques, to capture the relationship between AE and fault stress. …”
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Application of artificial intelligence technologies in lean management models of commercial banks by O. I. Dolganova, E. D. Bazhura

“…Specific consideration is given to the integration of the AI technologies and methods, including machine learning, natural language processing, and process mining, into the established lean practices. …”
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Digital materiality by Christian STEIN

“…This approach revolutionized natural language processing, enabling models to understand and generate human-like text by calculating complex contextual meanings. …”
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Assessing BERT-based models for Arabic and low-resource languages in crime text classification by Njood K. Al-harbi, Manal Alghieth

“…The bidirectional encoder representations from Transformers (BERT) has recently attracted considerable attention from researchers and practitioners, demonstrating notable effectiveness in various natural language processing (NLP) tasks, including text classification. …”
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Mapping the Green Urban: A Comprehensive Review of Materials and Learning Methods for Green Infrastructure Mapping by Dino Dobrinić, Mario Miler, Damir Medak

“…., screening) by using natural language processing and large language models. In total, this review analyzed 55 papers that included keywords related to GI mapping and provided materials and learning methods (i.e., machine or deep learning) essential for effective green infrastructure mapping. …”
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Sentiment analysis of emoji fused reviews using machine learning and Bert by Amit Khan, Dipankar Majumdar, Bikromadittya Mondal

“…Abstract The usage of Natural Language Processing (NLP) technology powered by Artificial Intelligence in processing of customer feedback has helped in making critical decisions for business growth in the aviation sector. …”
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Using Sentiment Analysis of Online Hotel Reviews To Explore the Effect of Information and Communication Technologies on Hotel Guest Satisfaction by Salma Cherdouh, Abdenacer Kherri, Ayoub Abbaci, Salim Kebir

“…We believe that this study contributes to the literature because it uses innovative natural language processing techniques as opposed to traditional questionnaire-based approaches. …”
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Similarities in semantic processing across verbal and pictorial domains in school children with developmental language disorder by Hanna Lindfors, Kristina Hansson, Neil Cohn, Annika Andersson

“…This study investigates whether Developmental Language Disorder (DLD) is a specific language impairment or a domain-general disorder, thereby addressing the broader question of whether language processing is distinct from or comparable to cognitive processing in other domains. …”
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Feature-Based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy by Feng Wang, M. Cenk Gursoy, Senem Velipasalar

“…For all aforementioned analyses, we evaluate the performance of the proposed learning scheme via experiments on an image classification task and a natural language processing task to demonstrate its effectiveness (<uri>https://github.com/wfwf10/Feature-based-Federated-Transfer-Learning</uri>).…”
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Weakly supervised language models for automated extraction of critical findings from radiology reports by Avisha Das, Ish A. Talati, Juan Manuel Zambrano Chaves, Daniel Rubin, Imon Banerjee

“…Although challenging, advancements in natural language processing (NLP), particularly large language models (LLMs), now enable the automated identification of key findings from verbose reports. …”
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A review of large language models and the recommendation task by Jacob Munson, Thomas Cuezze, Siddat Nesar, Dominique Zosso

“…Of particular importance is the transformer neural network architecture, which underpins these LLMs and has shown itself to be incredibly powerful in natural language processing, and has now been adapted to serve recommendation tasks. …”
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Enactivism, Health, AI, and Non-Neurotypical Individuals: Toward Contextualized, Personalized, and Ethically Grounded Interventions by Jordi Vallverdú

“…This paper explores how existing AI applications—ranging from socially assistive robots and virtual reality (VR) therapies to language-processing apps and personalized treatment planning—may be enhanced by incorporating enactivist principles. …”
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Amharic Language Image Captions Generation Using Hybridized Attention-Based Deep Neural Networks by Rodas Solomon, Mesfin Abebe

“…Image captioning is a task that combines both computer vision and natural language processing (NLP) domains. However, existing studies in the English language primarily focus on visual features to generate captions, resulting in a gap between visual and textual features and inadequate semantic representation. …”
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Chinese adversarial text generation method based on punctuation insertion by ZHANG Qian, YAN Qiao

“…The susceptibility of natural language processing models to adversarial texts has been a significant concern. …”
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A Context-Preserving Tokenization Mismatch Resolution Method for Korean Word Sense Disambiguation Based on the Sejong Corpus and BERT by Hanjo Jeong

“…The disambiguation of word senses (Word Sense Disambiguation, WSD) plays a crucial role in various natural language processing (NLP) tasks, such as machine translation, sentiment analysis, and information retrieval. …”
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