Publications by authors named "Scott Crossley"

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The Tool for Automatic Measurement of Morphological Information (TAMMI).
Scott A Crossley, Rurik Tywoniw, Joon Suh Choi

Behav Res Methods· September 2024

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Lexical and phraseological differences between second language written and spoken opinion responses.
Minkyung Kim, Scott A Crossley

Front Psychol· March 2023

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A large-scaled corpus for assessing text readability.
Scott Crossley, Aron Heintz, Joon Suh Choi, Jordan Batchelor, Mehrnoush Karimi

Behav Res Methods· February 2023

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Age of Exposure 2.0: Estimating word complexity using iterative models of word embeddings.
Robert-Mihai Botarleanu, Mihai Dascalu, Micah Watanabe, Scott Andrew Crossley, Danielle S McNamara

Behav Res Methods· December 2022

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Do Struggling Adult Readers Monitor Their Reading? Understanding the Role of Online and Offline Comprehension Monitoring Processes During Reading.
Elizabeth L Tighe, Gal Kaldes, Amani Talwar, Scott A Crossley, Daphne Greenberg

J Learn Disabil· December 2022

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The persuasive essays for rating, selecting, and understanding argumentative and discourse elements (PERSUADE) corpus 1.0.
Scott A Crossley, Perpetual Baffour, Yu Tian, Aigner Picou, Meg Benner

Assess Writ· October 2022

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Precision communication: Physicians' linguistic adaptation to patients' health literacy.
Dean Schillinger, Nicholas D Duran, Danielle S McNamara, Scott A Crossley, Renu Balyan

Sci Adv· December 2021

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Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features: Findings from the ECLIPPSE study.
Scott A Crossley, Renu Balyan, Jennifer Liu, Andrew J Karter, Danielle McNamara

Health Commun· July 2021

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Descriptive examination of secure messaging in a longitudinal cohort of diabetes patients in the ECLIPPSE study.
Anupama Gunshekar Cemballi, Andrew J Karter, Dean Schillinger, Jennifer Y Liu, Danielle S McNamara, Scott Crossley

J Am Med Inform Assoc· June 2021

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Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE Project.
Dean Schillinger, Renu Balyan, Scott Crossley, Danielle McNamara, Andrew Karter

J Health Care Poor Underserved· May 2021

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Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study.
Dean Schillinger, Renu Balyan, Scott A Crossley, Danielle S McNamara, Jennifer Y Liu

Health Serv Res· February 2021

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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.
William Brown, Renu Balyan, Andrew J Karter, Scott Crossley, Wagahta Semere

J Biomed Inform· January 2021

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Predicting the readability of physicians' secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study.
Scott A Crossley, Renu Balyan, Jennifer Liu, Andrew J Karter, Danielle McNamara

J Commun Healthc· September 2020

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Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.
Renu Balyan, Scott A Crossley, William Brown, Andrew J Karter, Danielle S McNamara

PLoS One· November 2019

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Secure Messaging with Physicians by Proxies for Patients with Diabetes: Findings from the ECLIPPSE Study.
Wagahta Semere, Scott Crossley, Andrew J Karter, Courtney R Lyles, William Brown

J Gen Intern Med· November 2019

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The Tool for the Automatic Analysis of Cohesion 2.0: Integrating semantic similarity and text overlap.
Scott A Crossley, Kristopher Kyle, Mihai Dascalu

Behav Res Methods· February 2019

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The tool for the automatic analysis of lexical sophistication (TAALES): version 2.0.
Kristopher Kyle, Scott Crossley, Cynthia Berger

Behav Res Methods· June 2018

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Sentiment Analysis and Social Cognition Engine (SEANCE): An automatic tool for sentiment, social cognition, and social-order analysis.
Scott A Crossley, Kristopher Kyle, Danielle S McNamara

Behav Res Methods· June 2017

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The Next Frontier in Communication and the ECLIPPSE Study: Bridging the Linguistic Divide in Secure Messaging.
Dean Schillinger, Danielle McNamara, Scott Crossley, Courtney Lyles, Howard H Moffet

J Diabetes Res· June 2017

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The tool for the automatic analysis of text cohesion (TAACO): Automatic assessment of local, global, and text cohesion.
Scott A Crossley, Kristopher Kyle, Danielle S McNamara

Behav Res Methods· December 2016

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Natural language processing in an intelligent writing strategy tutoring system.
Danielle S McNamara, Scott A Crossley, Rod Roscoe

Behav Res Methods· June 2013

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