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1
Precision communication: Physicians’ linguistic adaptation to patients’ health literacy
In: Sci Adv (2021)
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2
Multi-document Cohesion Network Analysis: Visualizing Intratextual and Intertextual Links
In: Artificial Intelligence in Education (2020)
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3
Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study
In: Health Serv Res (2020)
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4
Extended Multi-document Cohesion Network Analysis Centered on Comprehension Prediction
In: Artificial Intelligence in Education (2020)
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5
Sequence-to-Sequence Models for Automated Text Simplification
In: Artificial Intelligence in Education (2020)
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6
Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study
In: J Biomed Inform (2020)
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7
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study
In: J Gen Intern Med (2019)
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8
Writing flexibility in argumentative essays: a multidimensional analysis [<Journal>]
Allen, Laura K. [Verfasser]; Likens, Aaron D. [Verfasser]; McNamara, Danielle S. [Verfasser]
DNB Subject Category Language
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9
Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
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10
Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality ...
Abstract: This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text features and individual differences increases the accuracy of automatically assigned essay scores over using either individual differences or text features alone. The findings presented here have important implications for writing educators because they reveal that essay scoring methods can benefit from the incorporation of features taken not only from the essay itself (e.g., features related to lexical and syntactic complexity), but also from the writer (e.g., vocabulary knowledge and writing attitudes). The findings have implications for educational data mining researchers because they demonstrate new natural language processing approaches that afford the automatic ... : The file is in PDF format. If your computer does not recognize it, simply download the file and then open it with your browser. ...
Keyword: automated essay scoring; individual differences; intelligent tutoring systems; natural language processing; writing quality
URL: https://dx.doi.org/10.5281/zenodo.3554594
https://zenodo.org/record/3554594
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11
To Aggregate or Not? Linguistic Features in Automatic Essay Scoring and Feedback Systems
In: Journal of Writing Assessment, vol 8, iss 1 (2015)
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12
Automated evaluation of text and discourse with Coh-Metrix
McNamara, Danielle S.. - New York [u.a.] : Cambridge Univ. Press, 2014
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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13
Does writing development equal writing quality? A computational investigation of syntactic complexity in L2 learners
In: Journal of second language writing. - Amsterdam ˜[u.a]œ : Elsevier 26 (2014), 66-79
OLC Linguistik
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14
Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
In: Discourse processes. - London [u.a.] : Routledge, Taylor and Francis Group 51 (2014) 5, 511-534
OLC Linguistik
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15
Society for Text and Discourse Annual Meeting 2013: Introduction to the Special Issue
In: Discourse processes. - London [u.a.] : Routledge, Taylor and Francis Group 51 (2014) 5, 357-358
OLC Linguistik
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16
What Is Successful Writing? An Investigation Into the Multiple Ways Writers Can Write Successful Essays
In: Written communication. - Beverly Hills, Calif. [u.a.] : Sage Publ. 31 (2014) 2, 184-214
OLC Linguistik
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17
Emergent behaviors in computer-based learning environments: Computational signals of catching up
In: Computers in human behavior. - Amsterdam [u.a.] : Elsevier 41 (2014), 62-70
OLC Linguistik
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18
Analyzing discourse processing using a simple natural language processing tool
In: Discourse Processes 51 (2014) 5, 511-534
IDS Bibliografie zur Gesprächsforschung
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19
Linguistic microfeatures to predict L2 writing proficiency: A case study in Automated Writing Evaluation
In: Journal of Writing Assessment, vol 7, iss 1 (2014)
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20
What's so simple about simplified texts? A computational and psycholinguistic investigation of text comprehension and text processing
Crossley, Scott A.; Yang, Hae Sung; McNamara, Danielle S.. - : University of Hawaii National Foreign Language Resource Center, 2014. : Center for Language & Technology, 2014
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