Showing 121 - 140 results of 525 for search '"language processing"', query time: 0.07s Refine Results
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    Open intent detection based on distance loss and decision boundary by Panpan ZHANG, Yu HUA, Zhinan GOU, Yunxian CHI, Kai GAO

    Published 2024-12-01
    Subjects: “…natural language processing; intent recognition; intent detection; distance loss; decision boundary…”
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    Article
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    Investigating the relationship between thought interference, somatic passivity and outcomes in patients with psychosis: a natural language processing approach using a clinical records search platform in south London by Robert Stewart, Anna Kolliakou, Jyoti Sanyal, Rashmi Patel, Thibault Thierry Magrangeas

    Published 2022-08-01
    “…Objectives We aimed to apply natural language processing algorithms in routine healthcare records to identify reported somatic passivity (external control of sensations, actions and impulses) and thought interference symptoms (thought broadcasting, insertion, withdrawal), first-rank symptoms traditionally central to diagnosing schizophrenia, and determine associations with prognosis by analysing routine outcomes.Design Four algorithms were developed on deidentified mental healthcare data and applied to ascertain recorded symptoms over the 3 months following first presentation to a mental healthcare provider in a cohort of patients with a primary schizophreniform disorder (ICD-10 F20-F29) diagnosis.Setting and participants From the electronic health records of a large secondary mental healthcare provider in south London, 9323 patients were ascertained from 2007 to the data extraction date (25 February 2020).Outcomes The primary binary dependent variable for logistic regression analyses was any negative outcome (Mental Health Act section, >2 antipsychotics prescribed, >22 days spent in crisis care) over the subsequent 2 years.Results Final adjusted models indicated significant associations of this composite outcome with baseline somatic passivity (prevalence 4.9%; adjusted OR 1.61, 95% CI 1.37 to 1.88), thought insertion (10.7%; 1.24, 95% CI 1.15 to 1.55) and thought withdrawal (4.9%; 1.36, 95% CI 1.10 to 1.69), but not independently with thought broadcast (10.3%; 1.05, 95% CI 0.91 to 1.22).Conclusions Symptoms traditionally central to the diagnosis of schizophrenia, but under-represented in current diagnostic frameworks, were thus identified as important predictors of short-term to medium-term prognosis in schizophreniform disorders.…”
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    NLP neural network copyright protection based on black box watermark by Long DAI, Jing ZHANG, Xuefeng FAN, Xiaoyi ZHOU

    Published 2023-02-01
    Subjects: “…natural language processing…”
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    Article
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    Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

    Published 2023-12-01
    Subjects: “…natural language processing…”
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