Showing 61 - 80 results of 2,733 for search '"language processing"', query time: 0.51s Refine Results
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    Atypical Brain Connectivity During Pragmatic and Semantic Language Processing in Children with Autism by Amparo V. Márquez-García, Vasily A. Vakorin, Nataliia Kozhemiako, Grace Iarocci, Sylvain Moreno, Sam M. Doesburg

    Published 2024-10-01
    “…Results: Our results showed differences between groups during the pragmatic and semantic language processing, indicating more idiosyncratic connectivity in children with ASD in the Left Somatomotor and Left Limbic networks, suggesting that these networks play a role in task-dependent functional connectivity. …”
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    Special Issue on Recent Applications of Machine Learning in Natural Language Processing (NLP) by Jinyi Zhang, Carlos Á. Iglesias

    Published 2025-05-01
    “…Machine learning has profoundly advanced natural language processing (NLP), enabling more intelligent and human-like interaction across various applications, such as sentiment analysis, entity recognition, syntax parsing, and machine translation [...]…”
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    Dream content discovery from social media using natural language processing by Anubhab Das, Sanja Šćepanović, Luca Maria Aiello, Remington Mallett, Deirdre Barrett, Daniele Quercia

    Published 2025-05-01
    “…To overcome these issues, we conducted data-driven mixed-method analysis identifying topics in free-form dream reports through natural language processing. We applied this analysis on 44,213 dream reports from Reddit’s r/Dreams subreddit, where we uncovered 217 topics, grouped into 22 larger themes: the most extensive collection of dream topics to date. …”
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    Special Issue on Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis by Silvia García-Méndez, Francisco de Arriba-Pérez, Enrique Costa-Montenegro

    Published 2025-06-01
    “…In recent years, natural language processing (<span style="font-variant: small-caps;">nlp</span>) has undergone a profound transformation driven by significant advances in artificial intelligence, machine learning, and the massive availability of linguistic data [...]…”
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    Benchmarking large language models for biomedical natural language processing applications and recommendations by Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B. Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, Vipina K. Keloth, Kalpana Raja, Jimin Huang, Huan He, Fongci Lin, Jingcheng Du, Rui Zhang, W. Jim Zheng, Ron A. Adelman, Zhiyong Lu, Hua Xu

    Published 2025-04-01
    “…Biomedical Natural Language Processing (BioNLP) automates the process. While Large Language Models (LLMs) have shown promise in general domains, their effectiveness in BioNLP tasks remains unclear due to limited benchmarks and practical guidelines. …”
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