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Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
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In: Sci Adv (2021)
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Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links
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In: Artificial Intelligence in Education (2020)
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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study
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In: Health Serv Res (2020)
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Extended Multi-document Cohesion Network Analysis Centered on Comprehension Prediction
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In: Artificial Intelligence in Education (2020)
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Sequence-to-Sequence Models for Automated Text Simplification
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In: Artificial Intelligence in Education (2020)
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Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
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In: J Biomed Inform (2020)
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Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study
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In: J Gen Intern Med (2019)
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Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
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Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
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To Aggregate or Not? Linguistic Features in Automatic Essay Scoring and Feedback Systems
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In: Journal of Writing Assessment, vol 8, iss 1 (2015)
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Linguistic microfeatures to predict L2 writing proficiency: A case study in Automated Writing Evaluation
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In: Journal of Writing Assessment, vol 7, iss 1 (2014)
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What's so simple about simplified texts? A computational and psycholinguistic investigation of text comprehension and text processing
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