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Applying speech technologies to assess verbal memory in patients with serious mental illness
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Joint Multi-Domain Learning for Automatic Short Answer Grading ...
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24.4 MOVING SPEECH TECHNOLOGY METHODS OUT OF THE LABORATORY: PRACTICAL CHALLENGES AND CLINICAL TRANSLATION OPPORTUNITIES FOR PSYCHIATRY
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An automated method to analyze language use in patients with schizophrenia and their first-degree relatives
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Abstract:
Communication disturbances are prevalent in schizophrenia, and since it is a heritable illness these are likely present - albeit in a muted form - in the relatives of patients. Given the time-consuming, and often subjective nature of discourse analysis, these deviances are frequently not assayed in large scale studies. Recent work in computational linguistics and statistical-based semantic analysis has shown the potential and power of automated analysis of communication. We present an automated and objective approach to modeling discourse that detects very subtle deviations between probands, their first-degree relatives and unrelated healthy controls. Although these findings should be regarded as preliminary due to the limitations of the data at our disposal, we present a brief analysis of the models that best differentiate these groups in order to illustrate the utility of the method for future explorations of how language components are differentially affected by familial and illness related issues.
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Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/20383310 https://doi.org/10.1016/j.jneuroling.2009.05.002 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2850213
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Automating Convoy Training Assessment to Improve Soldier Performance
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In: DTIC (2008)
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Predicting Situation Awareness from Team Communications
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In: Haydee Cuevas (2007)
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Automated Communications Analysis System using Latent Semantic Analysis
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In: DTIC (2006)
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Automated Team Discourse Annotation and Performance Prediction Using LSA
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In: DTIC (2004)
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