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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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Comparing Comprehension Measured by Multiple-Choice and Open-Ended Questions
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In: Psychology Faculty Publications (2013)
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Text readability and intuitive simplification: A comparison of readability formulas
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The Role of Lexical Cohesive Devices in Triggering Negotiations for Meaning
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In: Crossley, Scott; Salsbury, Thomas Lee; & McNamara, Danielle S.(2010). The Role of Lexical Cohesive Devices in Triggering Negotiations for Meaning. Issues in Applied Linguistics, 18(1). Retrieved from: http://www.escholarship.org/uc/item/0n180736 (2010)
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Contributions of Self-Explanation to Comprehension of High- and Low-Cohesion Texts
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In: Psychology Faculty Publications (2010)
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Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures (in Natural Language Processing and Text Mining)
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In: Psychology Faculty Publications (2007)
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Identifying Text Genres Using Phrasal Verbs
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In: Dempsey, Kyle B.; McCarthy, Philip M.; & McNamara, Danielle S.(2006). Identifying Text Genres Using Phrasal Verbs. Proceedings of the Cognitive Science Society, 28(28). Retrieved from: http://www.escholarship.org/uc/item/5zp5b398 (2006)
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Using LSA to Automatically Identify Givenness and Newness of Noun Phrases in Written Discourse
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In: Cai, Zhiqiang; Dufty, David; Graesser, Arthur C.; Hempelmann, Christian F.; McCarthy, Philip M.; & McNamara, Danielle S.(2005). Using LSA to Automatically Identify Givenness and Newness of Noun Phrases in Written Discourse. Proceedings of the Cognitive Science Society, 27(27). Retrieved from: http://www.escholarship.org/uc/item/87n81224 (2005)
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Deep-level comprehension of science texts: the role of the reader and the text.
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