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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 ...
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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)
Abstract: This study investigates the relative efficacy of using linguistic micro-features, the aggregation of such features, and a combination of micro-features and aggregated features in developing automatic essay scoring (AES) models. Although the use of aggregated features is widespread in AES systems (e.g., e-rater; Intellimetric), very little published data exists that demonstrates the superiority of using such a method over the use of linguistic micro-features or combination of both micro-features and aggregated features. The results of this study indicate that AES models comprised of micro-features and a combination of micro-features and aggregated features outperform AES models comprised of aggregated features alone. The results also indicate that that AES models based on micro-features and a combination of micro-features and aggregated features provide a greater variety of features with which to provide formative feedback to writers. These results have implications for the development of AES systems and for providing automatic feedback to writers within these systems.
URL: https://escholarship.org/uc/item/1f21q8ck
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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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