Caption Alignment and Structure-Aware Attention for Scientific Table-to-Text Generation by Jian Wu, Borje F. Karlsson, Manabu Okumura

Subjects: “…Natural language processing…”
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Identifier technology in industrial internet by Zhen YANG, Dong ZHANG, Jie LI, Jianxiong ZHANG

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An Evaluation of Large Language Models for Supplementing a Food Extrusion Dataset by Necva Bölücü, Jordan Pennells, Huichen Yang, Maciej Rybinski, Stephen Wan

Subjects: “…natural language processing…”
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Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion by A-Seong Moon, Kyumin Kim, Jaesung Lee

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A Deep Semantic Comprehension-Based Automatic Conversation Model Based on Autoencoder-Enhanced Transformer by Shouyu Liang, Bimei Zhao, Cheng Li, Yuanfeng Chen, Zhengguo Ren, Bang Ao

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Diagnostic performance of multimodal large language models in radiological quiz cases: the effects of prompt engineering and input conditions by Taewon Han, Woo Kyoung Jeong, Jaeseung Shin

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Research on artificial intelligence technology and the future intelligent information service architecture by Zhihong WANG, Zhen YANG

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The role of generative artificial intelligence in evaluating adherence to responsible press media reports on suicide: A multisite, three-language study by Zohar Elyospeh, Bénédicte Nobile, Inbar Levkovich, Raphael Chancel, Philippe Courtet, Yossi Levi-Belz

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Comparative Analysis of Traditional and Modern NLP Techniques on the CoLA Dataset: From POS Tagging to Large Language Models by Abdessamad Benlahbib, Achraf Boumhidi, Anass Fahfouh, Hamza Alami

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ACCURACY EVALUATION AND ERROR ANALYSIS OF DEPENDENCY PARSING FOR TEXTS IN UKRAINIAN by Костянтин Сироткін

Subjects: “…natural language processing; syntactic parsing; dependency parsing; Universal Dependencies…”
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Development and Evaluation of Learning Portfolio Query System Based on LangChain Framework by Nien-Lin Hsueh, Wei-Ting Wang

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Decoding Consumer Sentiments: Advanced NLP Techniques for Analyzing Smartphone Reviews by Shaista Jabeen

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From literature to biodiversity data: mining arthropod organismal traits with machine learning by Joseph Cornelius, Harald Detering, Oscar Lithgow-Serrano, Donat Agosti, Fabio Rinaldi, Robert Waterhouse

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Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study by Rina Dutta, Hitesh Shetty, Ulrike Schmidt, André Bittar, Charlotte Cliffe, Sumithra Velupillai, Aida Seyedsalehi, Katerina Vardavoulia

“…Objectives The objective of this study was to determine risk factors for those diagnosed with eating disorders who report self-harm and suicidality.Design and setting This study was a retrospective cohort study within a secondary mental health service, South London and Maudsley National Health Service Trust.Participants All diagnosed with an F50 diagnosis of eating disorder from January 2009 to September 2019 were included.Intervention and measures Electronic health records (EHRs) for these patients were extracted and two natural language processing tools were used to determine documentation of self-harm and suicidality in their clinical notes. …”
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Throw out an oligopeptide to catch a protein: Deep learning and natural language processing-screened tripeptide PSP promotes Osteolectin-mediated vascularized bone regeneration by Yu Chen, Long Chen, Jinyang Wu, Xiaofeng Xu, Chengshuai Yang, Yong Zhang, Xinrong Chen, Kaili Lin, Shilei Zhang

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Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data by Wang KY, Mahesri M, Novoa-Laurentiev J, Bessette LG, York C, Zakoul H, Lee SB, Ngan K, Zhou L, Kim DH, Lin KJ

Subjects: “…natural language processing…”
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Toward Cross-Hospital Deployment of Natural Language Processing Systems: Model Development and Validation of Fine-Tuned Large Language Models for Disease Name Recognition in Japanese by Seiji Shimizu, Tomohiro Nishiyama, Hiroyuki Nagai, Shoko Wakamiya, Eiji Aramaki

“… Abstract BackgroundDisease name recognition is a fundamental task in clinical natural language processing, enabling the extraction of critical patient information from electronic health records. …”
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Correct/Incorrect Analysis of Responses When Estimating the Cognitive Function of Spontaneous Language in the Elderly by Toshiharu Igarashi, Katsuya Iijima, Kunio Nitta, Yu Chen

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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

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Quantifying extreme opinions on Reddit amidst the 2023 Israeli–Palestinian conflict by Alessio Guerra, Marcello Lepre, Oktay Karakuş

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