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Estudio y enseñanza
591
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453
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3441“…Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable prediction performance for a growing array of tasks. …”
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3442“…We further analysed patients’ and healthy controls’ entire sequences of words by employing stochastic block modelling of Generative Pretrained Transformer 3–based deep language representations. We conducted predictive modelling to investigate whether deep language representations of word sequences improved the accuracy of detecting the presence of frontal lesions using the phonemic fluency test. …”
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3443por Liu, Fenglin, Zhu, Tingting, Wu, Xian, Yang, Bang, You, Chenyu, Wang, Chenyang, Lu, Lei, Liu, Zhangdaihong, Zheng, Yefeng, Sun, Xu, Yang, Yang, Clifton, Lei, Clifton, David A.“…Here we report a medical multimodal large language model (Med-MLLM) for radiograph representation learning, which can learn broad medical knowledge (e.g., image understanding, text semantics, and clinical phenotypes) from unlabelled data. …”
Publicado 2023
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3444“…The background application uses Natural Language Processing (NLP) to harvest potential problem list entries from the list of 80 targeted problems detected in the multiple free-text electronic documents available in our electronic medical record. …”
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3446“…BACKGROUND: It has been suggested that cortical neural systems for language evolved from motor cortical systems, in particular from those fronto-parietal systems responding also to action observation. …”
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3448por Coolidge, Trilby, Chambers, Mark A, Garcia, Laura J, Heaton, Lisa J, Coldwell, Susan E“…We report on the psychometric properties of Spanish-language versions of two common adult measures of dental fear (Modified Dental Anxiety Scale, MDAS; Dental Fear Survey, DFS), as well as a measure of fear of dental injections (Needle Survey, NS). …”
Publicado 2008
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3449“…The results are encoded into a biological pathway format, Cell System Markup Language (CSML), which eases the exchange and integration of biological data and models. …”
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3450“…Differential patterns of fronto-temporal connectivity for these three domains confirm that the core aspects of language processing are carried out in a fronto-temporo-parietal language system which is modulated in different ways as a function of different linguistic processing requirements. …”
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3451por Alex, Beatrice, Grover, Claire, Haddow, Barry, Kabadjov, Mijail, Klein, Ewan, Matthews, Michael, Tobin, Richard, Wang, Xinglong“…The approach to these tasks taken by the University of Edinburgh team was to adapt and extend the existing natural language processing (NLP) system that we have developed as part of a commercial curation assistant. …”
Publicado 2008
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3452“…The patterns were strikingly similar in Swiss and foreign nationals speaking the same language, suggesting that preferences were specific to language rather than to nationality. …”
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3454por Angrilli, Alessandro, Spironelli, Chiara, Elbert, Thomas, Crow, Timothy J., Marano, Gianfranco, Stegagno, Luciano“…Crow suggested that the genetic variance associated with the evolution in Homo sapiens of hemispheric dominance for language carries with it the hazard of the symptoms of schizophrenia. …”
Publicado 2009
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3455por Qian, Yu, Tchuvatkina, Olga, Spidlen, Josef, Wilkinson, Peter, Gasparetto, Maura, Jones, Andrew R, Manion, Frank J, Scheuermann, Richard H, Sekaly, Rafick-Pierre, Brinkman, Ryan R“…CONCLUSION: We have shown that an extension of FuGE can be used to transform minimum information requirements in natural language to markup language in XML. Extending FuGE required significant effort, but in our experiences the benefits outweighed the costs. …”
Publicado 2009
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3456“…Crucially, however, there are reliable latency differences of 20–50 ms between early cortical area activations reflecting lexical, semantic and syntactic processes, which are left unexplained by current serial and parallel brain models of language. We here offer a mechanistic model grounded in cortical nerve cell circuits that builds upon neuroanatomical and neurophysiological knowledge and explains both near-simultaneous activations and fine-grained delays. …”
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3457“…BACKGROUND: Much evidence has accumulated to indicate memory deficits in children with specific language impairment. However, most research has focused on working memory impairments in these children. …”
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3458“…Subsequently, second-language (L2) words are learned by simultaneously presenting the new word together with the L1 one. …”
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3459“…We claimed that there was high congruence between traditional language subgroups and those observed in the language phylogenies, and that the estimated age of the Austronesian expansion at 5,200 years ago was consistent with the archaeological evidence. …”
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3460“…Spoken language and visual perception are input modes for these representations, and the generation of spoken language is the output mode. …”
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