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  1. They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems

    Author(s): Madnani, Nitin ; Tetreault, Joel R. ; Chodorow, Martin ; Rozovskaya, Alla

    Publication Year: 2011

    Source: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: shortpapers, Jun 19-24, 2011, p508-513

  2. Automated Evaluation of Discourse Coherence Quality in Essay Writing

    Author(s): Burstein, Jill ; Tetreault, Joel ; Chodorow, Martin ; Blanchard, Daniel ; Andreyev, Slava

    Publication Year: 2013

    Source: Shermis, Mark D.; Burstein, Jill (eds.) Handbook of Automated Essay Evaluation: Current Applications and New Directions. New York: Routledge, 2013, p267-280

  3. Grammatical Error Detection in Automatic Essay Scoring and Feedback

    Author(s): Gamon, Michael ; Chodorow, Martin ; Leacock, Claudia ; Tetreault, Joel

    Publication Year: 2013

    Source: Shermis, Mark D.; Burstein, Jill (eds.) Handbook of Automated Essay Evaluation: Current Applications and New Directions. New York: Routledge, 2013, p251-266

  4. Detecting Errors in English Article Usage with a Maximum Entropy Classifier Trained on a Large, Diverse Corpus

    Author(s): Han, Na-Rae ; Chodorow, Martin ; Leacock, Claudia

    Publication Year: 2004

    Source: Proceedings of the 4th International Conference on Language Resources and Evaluation

  5. Beyond Essay Length: Evaluating e-rater's Performance on TOEFL Essays

    Author(s): Chodorow, Martin ; Burstein, Jill

    Publication Year: 2004

    Source: ETS Research Report

  6. Computer Analysis of Essay Content for Automated Score Prediction: A Prototype Automated Scoring System for GMAT Analytical Writing Assessment Essays

    Author(s): Burstein, Jill ; Braden-Harder, Lisa ; Chodorow, Martin ; Hua, Shuyi ; Kaplan, Bruce A. ; Kukich, Karen ; Lu, Chi ; Nolan, James ; Rock, Donald A. ; Wolff, Susanne

    Publication Year: 1998

    Source: ETS Research Report

  7. Enriching Automated Essay Scoring Using Discourse Marking

    Author(s): Burstein, Jill ; Kukich, Karen ; Wolff, Susanne ; Lu, Chi ; Chodorow, Martin

    Publication Year: 1998

    Source: Proceedings of the Workshop on Discourse Relations and Discourse Marking, Annual Meeting of the Association of Computational Linguistics, Aug, 1998, Montreal, Canada

  8. Automated Scoring Using a Hybrid Feature Identification Technique

    Author(s): Burstein, Jill ; Kukich, Karen ; Wolff, Susanne ; Lu, Chi ; Chodorow, Martin ; Braden-Harder, Lisa ; Harris, Mary Dee

    Publication Year: 1998

    Source: Proceedings of the Annual Meeting of the Association of Computational Linguistics, Aug 1998, Montreal, Canada

  9. Comparing the Validity of Automated and Human Essay Scoring

    Author(s): Powers, Donald E. ; Burstein, Jill ; Chodorow, Martin ; Fowles, Mary E. ; Kukich, Karen

    Publication Year: 2014

    Source: Wendler, Cathy; Bridgeman, Brent (eds.) with assistance from Chelsea Ezzo. The Research Foundation for the GRE revised General Test: A Compendium of Studies. Princeton, NJ: Educational Testing Service, 2014, p4.2.1-4.2.4

  10. Detecting Errors in English Article Usage by Non-Native Speakers

    Author(s): Han, Na-Rae ; Chodorow, Martin ; Leacock, Claudia

    Publication Year: 2006

    Source: Natural Language Engineering, v12 n2 p115-129, Jun 2006

  11. Rethinking Grammatical Error Annotation and Evaluation with the Amazon Mechanical Turk

    Author(s): Tetreault, Joel R. ; Filatova, Elena ; Chodorow, Martin

    Publication Year: 2010

    Source: Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications, Jun 2010, p45-48

  12. Exploiting Syntactic and Distributional Information for Spelling Correction with Web-Scale N-gram Models

    Author(s): Xu, Wei ; Tetreault, Joel R. ; Chodorow, Martin ; Grishman, Ralph ; Zhao, Le

    Publication Year: 2011

    Source: Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, Jul 27-31, 2011, p1291-1300

  13. Automated Essay Evaluation: The Criterion Online Writing Service

    Author(s): Burstein, Jill ; Chodorow, Martin ; Leacock, Claudia

    Publication Year: 2004

    Source: Artifitical Intelligence, v25 n3 p27-36, Fal 2004

  14. Automated Essay Scoring for Nonnative English Speakers

    Author(s): Burstein, Jill ; Chodorow, Martin

    Publication Year: 1999

    Source: Joint Symposium of the Association of Computational Linguistics and the International Association of Language Learning Technologies, Workshop on Computer-Mediated Language Assessment and Evaluation of Natural Language Processing, College Park, Maryland, Jun, 1999

  15. Examining the Use of Region Web Counts for ESL Error Detection

    Author(s): Tetreault, Joel R. ; Chodorow, Martin

    Publication Year: 2009

    Source: Alegria, Inaki; Leturia, Igor; Sharoff, Serge (eds.) Proceedings of the Fifth Web as Corpus Workshop (WAC5), Donostia-San Sebastian, Basque Country, Spain, Sept 7, 2009, p71-78

  16. Technology and Assessment

    Author(s): Frase, Lawrence T. ; Almond, Russell G. ; Burstein, Jill ; Kukich, Karen ; Sheehan, Kathleen M. ; Steinberg, Linda S. ; Mislevy, Robert J. ; Singley, Kevin ; Chodorow, Martin

    Publication Year: 2003

    Source: O'Neil, Harold F.; Perez, Ray S. (eds.) Technology Applications In Education: A Learning View. Mahwah, NJ: Lawrence Erlbaum Associates, 2003, p213-244

  17. The Ups and Downs of Preposition Error Detection in ESL Writing

    Author(s): Tetreault, Joel R. ; Chodorow, Martin

    Publication Year: 2008

    Source: Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, p865-872, Aug 2008

  18. Preliminary Experiments on Crowdsourced Evaluation of Feedback Granularity

    Author(s): Madnani, Nitin ; Chodorow, Martin ; Cahill, Aoife ; Lopez, Melissa ; Futagi, Yoko ; Attali, Yigal

    Publication Year: 2015

    Source: Proceedings of the 2015 Tenth Workshop on Innovative Use of NLP for Building Educational Applications, Denver, CO, June 4, 2015, p162-171.

  19. Techniques for Detecting Syntactic Errors in Text

    Author(s): Chodorow, Martin ; Leacock, Claudia

    Publication Year: 2002

    Source: Technical Report of the Institute of Electronics, Information, and Communication Engineers, v102 n491 p37-41, 2002

  20. Progress and New Directions in Technology for Automated Essay Evaluation

    Author(s): Burstein, Jill ; Chodorow, Martin

    Publication Year: 2010

    Source: Kaplan, Robert B. (ed.) The Oxford Handbook of Applied Linguistics. New York: Oxford University Press, 2010, p529-538

  21. An Unsupervised Method for Detecting Grammatical Errors

    Author(s): Chodorow, Martin ; Leacock, Claudia

    Publication Year: 2000

    Source: Proceedings of the 1st Annual Meeting of the North American Chapter of the Association for Computational Linguistics, p140-147

  22. Automated Grammatical Error Detection for Language Learners

    Author(s): Leacock, Claudia ; Chodorow, Martin ; Gamon, Michael ; Tetreault, Joel

    Publication Year: 2010

    Source: Book; San Rafael, CA: Morgan & Claypool Publishers

  23. Bucking the Trend: Improved Evaluation and Annotation Practices for ESL Error Detection Systems

    Author(s): Tetreault, Joel ; Madnani, Nitin ; Chodorow, Martin

    Publication Year: 2014

    Source: Language Resources and Evaluation, v48 n1 p5-31, Mar 2014

  24. Identifying High-Level Organizational Elements in Argumentative Discourse

    Author(s): Madnani, Nitin ; Heilman, Michael ; Tetreault, Joel R. ; Chodorow, Martin

    Publication Year: 2012

    Source: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montreal, Canada, Jun 3-8, p20-28

  25. Re-examining Machine Translation Metrics for Paraphrase Identification

    Author(s): Madnani, Nitin ; Tetreault, Joel R. ; Chodorow, Martin

    Publication Year: 2012

    Source: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montreal, Canada, Jun 3-8, p182-190

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