Assessing Fine-Tuned NER Models with Limited Data in French: Automating Detection of New Technologies, Technological Domains, and Startup Names in Renewable Energy by Connor MacLean, Denis Cavallucci

Subjects: “…natural language processing…”
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Pretrained Language Models as Containers of the Discursive Knowledge by Rafal Maciag

Subjects: “…natural language processing…”
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The Hermeneutics of Artificial Text by Rafal Maciag

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TASCI: transformers for aspect-based sentiment analysis with contextual intent integration by Hassan Nazeer Chaudhry, Farzana Kulsoom, Zahid Ullah Khan, Muhammad Aman, Sajid Ullah Khan, Abdullah Albanyan

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Assessing ChatGPT-4’s performance on the US prosthodontic exam: impact of fine-tuning and contextual prompting vs. base knowledge, a cross-sectional study by Mahmood Dashti, Farshad Khosraviani, Tara Azimi, Delband Hefzi, Shohreh Ghasemi, Amir Fahimipour, Niusha Zare, Zohaib Khurshid, Syed Rashid Habib

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A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance by Wenjing Guo, Fan Dong, Jie Liu, Aasma Aslam, Tucker A. Patterson, Huixiao Hong

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Neural Network-Based Sentiment Classification of Russian Sentences into Four Classes by Maksim A. Kosterin, Ilya V. Paramonov

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Minangkabau Language Stemming: A New Approach with Modified Enhanced Confix Stripping by Fadhli Almu'iini Ahda, Aji Prasetya Wibawa, Didik Dwi Prasetya, Danang Arbian Sulistyo, Andrew Nafalski

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Zero-Shot Prompting Strategies for Table Question Answering with a Low-Resource Language by Marcelo Jannuzzi, Yuriy Perezhohin, Fernando Peres, Mauro Castelli, Aleš Popovič

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A Linguistic Features-Based Approach for the Functional Analysis of Disinformation in Spanish by Eduardo Puraivan, Fabian Riquelme, Rene Venegas

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GABSA-PT: Graph Neural Networks for Aspect-level Sentiment Analysis in Portuguese Language by Gabriel Gomes, Ulisses Corrêa, Larissa Freitas

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Machine learning-based voice assistant: optimizing the efficiency of speech conversion for people with speech disorders by M.H. Antor, N.V. Chudinovskikh, M.V. Bachurin, A.A. Shurpikov, N.A. Khlebnikov, B.A. Bredikhin

Subjects: “…natural language processing…”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

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Sentiment and Emotion Network Analysis—SENA: An Analytic Framework and No-Code Software to Integrate Natural Language Processing, Linguistic Analysis, and Data Science with Qualitative and Mixed-Methods Research by Manuel S. González Canché, Kaiwen Zheng

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Qiantang River (Hangzhou section) leisure tourist area planning based on traditional ancient poetry and modern urban imagery: netnographic methods and natural language processing analysis by Shuai Yang, Jingzhao Feng, Yile Chen, Liang Zheng, Yuqing Feng

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Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean and English) Clinical Notes: Algorithm Development and Validation by Kyungmo Kim, Seongkeun Park, Jeongwon Min, Sumin Park, Ju Yeon Kim, Jinsu Eun, Kyuha Jung, Yoobin Elyson Park, Esther Kim, Eun Young Lee, Joonhwan Lee, Jinwook Choi

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Erratum to “Classification of cervical biopsy free-text diagnoses through linear-classifier based natural language processing” [Journal of Pathology Informatics Volume 13, 2022, 100123] by Jim Wei-Chun Hsu, Paul Christensen, Yimin Ge, S. Wesley Long

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Automatic story and item generation for reading comprehension assessments with transformers by Seyma Nur Yildirim-erbasli, Okan Bulut

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Identification of Gender Differences in Acute Myocardial Infarction Presentation and Management at Aga Khan University Hospital-Pakistan: Natural Language Processing Application in a Dataset of Patients With Cardiovascular Disease by Christine Ngaruiya, Zainab Samad, Salma Tajuddin, Zarmeen Nasim, Rebecca Leff, Awais Farhad, Kyle Pires, Muhammad Alamgir Khan, Lauren Hartz, Basmah Safdar

“… BackgroundIschemic heart disease is a leading cause of death globally with a disproportionate burden in low- and middle-income countries (LMICs). Natural language processing (NLP) allows for data enrichment in large datasets to facilitate key clinical research. …”
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