Scott Crossley

Scott Andrew Crossley (born 1973) is an American linguist. He is a professor of applied linguistics at Vanderbilt University, United States. His research focuses on natural language processing and the application of computational tools and machine learning algorithms in learning analytics including second language acquisition, second language writing, and readability. His main interest area is the development and use of natural language processing tools in assessing writing quality and text difficulty.

Along with Cumming, Hyland, Kormos, Matsuda, Manchón, Ortega, Polio, Storch and Verspoor he is considered one of the most prominent researchers on second language writing. Provided by Wikipedia
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  1. 1
    Applications of Text Analysis Tools for Spoken Response Grading /

    Applications of Text Analysis Tools for Spoken Response Grading / by Crossley, Scott, McNamara, Danielle

    Published 2013
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  2. 2
    Developing Component Scores from Natural Language Processing Tools to Assess Human Ratings of Essay Quality /

    Developing Component Scores from Natural Language Processing Tools to Assess Human Ratings of Essay Quality / by Crossley, Scott A., McNamara, Danielle S.

    Published 2014
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  3. 3
    Say More and Be More Coherent : How Text Elaboration and Cohesion Can Increase Writing Quality /

    Say More and Be More Coherent : How Text Elaboration and Cohesion Can Increase Writing Quality / by Crossley, Scott A., McNamara, Danielle S.

    Published 2016
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  4. 4
    Predicting Math Performance Using Natural Language Processing Tools /

    Predicting Math Performance Using Natural Language Processing Tools / by Crossley, Scott, Liu, Ran, McNamara, Danielle

    Published 2017
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  5. 5
    Predicting Human Judgments of Essay Quality in Both Integrated and Independent Second Language Writing Samples : A Comparison Study /

    Predicting Human Judgments of Essay Quality in Both Integrated and Independent Second Language Writing Samples : A Comparison Study / by Guo, Liang, Crossley, Scott A., McNamara, Danielle S.

    Published 2013
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  6. 6
    Natural Language Processing in an Intelligent Writing Strategy Tutoring System /

    Natural Language Processing in an Intelligent Writing Strategy Tutoring System / by McNamara, Danielle S., Crossley, Scott A., Roscoe, Rod

    Published 2013
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  7. 7
    To Aggregate or Not? : Linguistic Features in Automatic Essay Scoring and Feedback Systems /

    To Aggregate or Not? : Linguistic Features in Automatic Essay Scoring and Feedback Systems / by Crossley, Scott A., Kyle, Kristopher, McNamara, Danielle S.

    Published 2015
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  8. 8
    The Development and Use of Cohesive Devices in L2 Writing and Their Relations to Judgments of Essay Quality /

    The Development and Use of Cohesive Devices in L2 Writing and Their Relations to Judgments of Essay Quality / by Crossley, Scott A., Kyle, Kristopher, McNamara, Danielle S.

    Published 2016
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  9. 9
    Predicting Misalignment between Teachers' and Students' Essay Scores Using Natural Language Processing Tools

    Predicting Misalignment between Teachers' and Students' Essay Scores Using Natural Language Processing Tools by Allen, Laura K., Crossley, Scott A., McNamara, Danielle S.

    Published 2015
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  10. 10
    Cohesion-Based Prompt Effects in Argumentative Writing /

    Cohesion-Based Prompt Effects in Argumentative Writing / by Crossley, Scott A., Varner, Laura K., McNamara, Danielle S.

    Published 2013
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  11. 11
    A Multidimensional Analysis of Essay Writing : What Linguistic Features Tell Us about Situational Parameters and the Effects of Language Functions on Judgments of Quality /

    A Multidimensional Analysis of Essay Writing : What Linguistic Features Tell Us about Situational Parameters and the Effects of Language Functions on Judgments of Quality / by Crossley, Scott A., Allen, Laura K., McNamara, Danielle S.

    Published 2014
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  12. 12
    The Importance of Grammar and Mechanics in Writing Assessment and Instruction Evidence from Data Mining /

    The Importance of Grammar and Mechanics in Writing Assessment and Instruction Evidence from Data Mining / by Allen, Laura, Crossley, Scott, Kyle, Kris, McNamara, Danielle S.

    Published 2014
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  13. 13
    Linking Language to Math Success in an On-Line Course /

    Linking Language to Math Success in an On-Line Course / by Crossley, Scott, Barnes, Tiffany, Lynch, Collin, McNamara, Danielle S.

    Published 2017
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  14. 14
    Automatic Assessment of Constructed Response Data in a Chemistry Tutor /

    Automatic Assessment of Constructed Response Data in a Chemistry Tutor / by Crossley, Scott, Kyle, Kristopher, Davenport, Jodi, McNamara, Danielle S.

    Published 2016
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  15. 15
    Pssst& Textual Features& There Is More to Automatic Essay Scoring than Just You! /

    Pssst& Textual Features& There Is More to Automatic Essay Scoring than Just You! / by Crossley, Scott, Allen, Laura K., Snow, Erica L., McNamara, Danielle S.

    Published 2015
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  16. 16
    Sequence-to-Sequence Models for Automated Text Simplification /

    Sequence-to-Sequence Models for Automated Text Simplification / by Botarleanu, Robert-Mihai, Dascalu, Mihai, Crossley, Scott Andrew, McNamara, Danielle S.

    Published 2020
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  17. 17
    Using Automated Indices of Cohesion to Evaluate an Intelligent Tutoring System and an Automated Writing Evaluation System /

    Using Automated Indices of Cohesion to Evaluate an Intelligent Tutoring System and an Automated Writing Evaluation System / by Crossley, Scott A., Varner, Laura K., Roscoe, Rod D., McNamara, Danielle S.

    Published 2013
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  18. 18
    Developing Pedagogically-Guided Algorithms for Intelligent Writing Feedback /

    Developing Pedagogically-Guided Algorithms for Intelligent Writing Feedback / by Roscoe, Rod D., Varner, Laura K., Crossley, Scott A., McNamara, Danielle S.

    Published 2013
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  19. 19
    Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features /

    Modeling Math Identity and Math Success through Sentiment Analysis and Linguistic Features / by Crossley, Scott, Ocumpaugh, Jaclyn, Labrum, Matthew, Bradfield, Franklin, Dascalu, Mihai, Baker, Ryan S.

    Published 2018
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  20. 20
    Linguistic Microfeatures to Predict L2 Writing Proficiency : A Case Study in Automated Writing Evaluation /

    Linguistic Microfeatures to Predict L2 Writing Proficiency : A Case Study in Automated Writing Evaluation / by Crossley, Scott A., Kyle, Kristopher, Allen, Laura K., Guo, Liang, McNamara, Danielle S.

    Published 2014
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