Towards automated phenotype definition extraction using large language models by Ramya Tekumalla, Juan M. Banda

“…Abstract Electronic phenotyping involves a detailed analysis of both structured and unstructured data, employing rule-based methods, machine learning, natural language processing, and hybrid approaches. Currently, the development of accurate phenotype definitions demands extensive literature reviews and clinical experts, rendering the process time-consuming and inherently unscalable. …”
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The Role of ChatGPT in Dermatology Diagnostics by Ziad Khamaysi, Mahdi Awwad, Badea Jiryis, Naji Bathish, Jonathan Shapiro

“…This review explores the application of ChatGPT in dermatological diagnosis, emphasizing its role in natural language processing (NLP) for clinical data interpretation, differential diagnosis assistance, and patient communication enhancement. …”
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Improving Word Embedding Using Variational Dropout by Zainab Albujasim, Diana Inkpen, Xuejun Han, Yuhong Guo

“…Pre-trained word embeddings are essential in natural language processing (NLP). In recent years, many post-processing algorithms have been proposed to improve the pre-trained word embeddings. …”
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Artificial intelligence in psychiatric diagnosis: challenges and opportunities in the era of machine learning by Kirolos Eskandar

“…This literature review explores the current state of AI in psychiatric diagnosis, highlighting key technologies such as machine learning, natural language processing, and deep learning. We discuss the application of these technologies across various psychiatric disorders, including depression, anxiety, and schizophrenia. …”
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Dataset of Uzbek verbs with formation and suffixesMendeley Data by Maksud Sharipov, Jernej Vičič

“…The obtained dataset serves as a valuable resource for researchers and practitioners interested in Uzbek language processing tasks.…”
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Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain by Maedeh Mosharraf, Mohammad Hossein Khorrami

“…It utilizes natural language processing and machine learning methods to extract key sentences from user conversations and match them with emojis that reflect their sentiments. …”
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Research on Analyzing the Emotional Polarity of Malicious Swipe Comments on E-commerce Platforms Based on NPL by Ren Chaoyi

“…In the era of rapid advancements in natural language processing (NLP) models, these technologies have immense potential to detect and address societal issues, enhancing the functioning of the digital society. …”
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Neural Stimulation Has a Long-Term Effect on Foreign Vocabulary Acquisition by Achille Pasqualotto, Begüm Kobanbay, Michael J. Proulx

“…There is evidence suggesting that the frontal and temporal cortices are involved in language processing and comprehension, but it is still unknown whether foreign language acquisition recruits additional cortical areas in a causal manner. …”
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Handling Semantic Relationships for Classification of Sparse Text: A Review by Safuan, Ku Ruhana Ku-Mahamud

“…The classification of sparse text, common in short or specialized content, is challenging for natural language processing. These challenges stem from high-dimensional data and scarce relevant features because sparse text can result from noisy, short, or contextually limited inputs. …”
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Unveiling the spectrum of Arabic offensive language: Taxonomy and insights. by Chaya Liebeskind, Yossef Haim Shrem, Marina Litvak, Natalia Vanetik

“…We posit that our refined taxonomy and accompanying dataset will be pivotal in advancing research across Semitic languages, including sociocultural studies, natural language processing, and linguistic analyses.…”
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Exploring NLP-Based Solutions to Social Media Moderation Challenges by Heba Saleous, Marton Gergely, Khaled Shuaib

“…To address these challenges, artificial intelligence (AI) and natural language processing (NLP) have been explored as potential solutions. …”
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A Field-Level Asset Mapping Dataset for England’s Agricultural Sector by Hassan Aftab Sheikh, Alok Singh, Neetu Kushwaha, Christophe Christiaen, Nataliya Tkachenko, Juan Sabuco, Ben Caldecott

“…To address this gap, we developed an open-source farm-level dataset using natural language processing (NLP) and unsupervised learning, mapping farm names to spatial polygons to fill ownership and entity gaps. …”
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Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Abstract Artificial neural networks (ANNs) are at the core of most Deep Learning (DL) algorithms that successfully tackle complex problems like image recognition, autonomous driving, and natural language processing. However, unlike biological brains who tackle similar problems in a very efficient manner, DL algorithms require a large number of trainable parameters, making them energy-intensive and prone to overfitting. …”
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Artificial Intelligence in Geography Teaching: Potentialities, Applications, And Challenges by Cennet Şanlı

“…Using a descriptive method based on a literature review, the findings reveal that natural language processing, learning analytics, location-based systems, and intelligent tutoring systems effectively support student-centered learning. …”
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A methodology to infer value networks from police case files by Emanuele Mezzi, Frederike Oetker, Paul Duijn, Rick Quax

“…The challenge of manual processing and analysing the vast volume of documentation resulting from investigations have prompted law enforcement agencies to embrace Natural Language Processing (NLP). Despite this, a systematic approach to automatically retrieve relevant data from police case files is lacking. …”
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Advancing Biomedical Engineering With Artificial Intelligence and Machine Learning: A Systematic Review by Abebe Belay Adege

“…Emerging technologies, including but not limited to deep learning, natural language processing, and reinforcement learning, are discussed for their potential to alter biomedical research and clinical practice. …”
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Numerical Simulation of Ambiguity Resolution in Multiple Information Streams Based on Network Machine Translation by Lei Wang, Qun Ai

“…Word sense disambiguation is a key issue in the field of natural language processing. This paper introduces the more common statistical learning methods used in the field of word sense disambiguation. …”
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Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management by Sio-Iong Ao, Marc Hurwitz, Vasile Palade

“…Deep neural network architectures, natural language processing, big data tools, and self-learning tools based on pattern recognition have been widely deployed to solve highly complex problems. …”
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A PLM-LCN Network-Based Model for e-Library Automatic Classification by Ke Lu, Bei Zheng, Jingjing Shi

“…The results illustrate the model's efficacy in Chinese book classification, offering theoretical advancements in natural language processing applications and practical enhancements in library resource management and user services.…”
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Analysis of Multimodal Data in Project Management: Prospects for Using Machine Learning by P. A. Mikhnenko

“…The results of the study allowed us to conclude that for the analysis of multimodal data, natural language processing and intellectual decision support technologies are most in demand, which can serve as the basis for new technological solutions in the field of project management.…”
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