Search details
1.
Age of Exposure 2.0: Estimating word complexity using iterative models of word embeddings.
Behav Res Methods
; 54(6): 3015-3042, 2022 12.
Article
in English
| MEDLINE | ID: mdl-35167112
2.
Challenges and solutions to employing natural language processing and machine learning to measure patients' health literacy and physician writing complexity: The ECLIPPSE study.
J Biomed Inform
; 113: 103658, 2021 01.
Article
in English
| MEDLINE | ID: mdl-33316421
3.
Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study.
J Gen Intern Med
; 34(11): 2490-2496, 2019 11.
Article
in English
| MEDLINE | ID: mdl-31428986
4.
Cohesion network analysis of CSCL participation.
Behav Res Methods
; 50(2): 604-619, 2018 04.
Article
in English
| MEDLINE | ID: mdl-28409485
5.
Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.
Behav Res Methods
; 49(3): 803-821, 2017 06.
Article
in English
| MEDLINE | ID: mdl-27193159
6.
The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion.
Behav Res Methods
; 48(4): 1227-1237, 2016 12.
Article
in English
| MEDLINE | ID: mdl-26416138
7.
From Generating in the Lab to Tutoring Systems in Classrooms.
Am J Psychol
; 128(2): 159-72, 2015.
Article
in English
| MEDLINE | ID: mdl-26255437
8.
Natural language processing in an intelligent writing strategy tutoring system.
Behav Res Methods
; 45(2): 499-515, 2013 Jun.
Article
in English
| MEDLINE | ID: mdl-23055164
9.
Automated Strategy Feedback Can Improve the Readability of Physicians' Electronic Communications to Simulated Patients.
Int J Hum Comput Stud
; 1762023 Aug.
Article
in English
| MEDLINE | ID: mdl-37193118
10.
Leveraging a multidimensional linguistic analysis of constructed responses produced by college readers.
Front Psychol
; 13: 936162, 2022.
Article
in English
| MEDLINE | ID: mdl-36033023
11.
The neural correlates of strategic reading comprehension: cognitive control and discourse comprehension.
Neuroimage
; 58(2): 675-86, 2011 Sep 15.
Article
in English
| MEDLINE | ID: mdl-21741484
12.
The bit in the middle and why it's important: a computational analysis of the linguistic features of body paragraphs.
Behav Res Methods
; 43(1): 201-9, 2011 Mar.
Article
in English
| MEDLINE | ID: mdl-21287126
13.
Precision communication: Physicians' linguistic adaptation to patients' health literacy.
Sci Adv
; 7(51): eabj2836, 2021 Dec 17.
Article
in English
| MEDLINE | ID: mdl-34919437
14.
Before and during COVID-19: A Cohesion Network Analysis of students' online participation in moodle courses.
Comput Human Behav
; 121: 106780, 2021 Aug.
Article
in English
| MEDLINE | ID: mdl-35702661
15.
Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study.
Health Serv Res
; 56(1): 132-144, 2021 02.
Article
in English
| MEDLINE | ID: mdl-32966630
16.
Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
J Am Med Inform Assoc
; 28(6): 1252-1258, 2021 06 12.
Article
in English
| MEDLINE | ID: mdl-33236117
17.
Strategies to read and learn: overcoming learning by consumption.
Med Educ
; 44(4): 340-6, 2010 Apr.
Article
in English
| MEDLINE | ID: mdl-20236240
18.
Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.
PLoS One
; 14(2): e0212488, 2019.
Article
in English
| MEDLINE | ID: mdl-30794616
19.
Suppressing irrelevant information: knowledge activation or inhibition?
J Exp Psychol Learn Mem Cogn
; 30(2): 465-82, 2004 Mar.
Article
in English
| MEDLINE | ID: mdl-14979818
20.
Comparing comprehension measured by multiple-choice and open-ended questions.
Can J Exp Psychol
; 67(3): 215-27, 2013 Sep.
Article
in English
| MEDLINE | ID: mdl-24041303