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Your search for KW:"Automated Scoring and Natural Language Processing" returned 248 results.

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  1. Automatic Scoring of Advanced Placement Biology Essays

    Author(s): Burstein, Jill ; Kaplan, Randy ; Wolff, Susanne ; Lu, Chi

    Publication Year: 1997

    Source: ETS Research Report

  2. 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

  3. On the Application of Context to Natural Language Processing Applied to the Analysis of Test Responses

    Author(s): Burstein, Jill ; Kaplan, Robert M.

    Publication Year: 1995

    Source: Proceedings of the IJCAI-95 Workshop on Context in Natural Language Processing. International Joint Conferences on Artificial Intelligence, 1995

  4. Towards Agile and Test-Driven Development in NLP Applications

    Author(s): Sukkarieh, Jana Z. ; Kamal, Jyoti

    Publication Year: 2009

    Source: Proceedings of the Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing, 2009, p42-44

  5. Natural Language Processing for Educational Applications

    Author(s): Burstein, Jill ; Sabatini, John P. ; Shore, Jane R.

    Publication Year: 2014

    Source: Mitkov, Ruslan (ed.) The Oxford Handbook of Computational Linguistics, 2nd ed. (Forthcoming)

  6. GE FRST Evaluation Report: How Well Does a Statistically-Based Natural Language Processing System Score Natural Language Constructed Responses?

    Author(s): Burstein, Jill ; Kaplan, Randy M.

    Publication Year: 1995

    Source: ETS Research Report

  7. 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

  8. Criterion Online Essay Evaluation: An Application for Automated Evaluation of Student Essays

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

    Publication Year: 2004

    Source: Proceedings of the Fifteenth Annual Conference on Innovative Applications of Artificial Intelligence. Association for the Advancement of Artificial Intelligence, Oct 2004

  9. Advanced Capabilities for Evaluating Student Writing: Detecting Off-Topic Essays Without Topic-Specific Training

    Author(s): Burstein, Jill ; Higgins, Derrick

    Publication Year: 2005

    Source: Looi, C.K.(ed). Artificial Inteligence in Education: Learning through Intelligent and Socially Informed Technology. Amsterdam, Netherlands: IOS Press, 2005, p112-119

  10. 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

  11. A Fast and Flexible Architecture for Very Large Word n-gram Datasets

    Author(s): Flor, Michael

    Publication Year: 2012

    Source: Natural Language Engineering, v18 n3 p1-33, Jul 2012

  12. Using Entity-Based Features to Model Coherence in Student Essays

    Author(s): Burstein, Jill ; Tetreault, Joel R. ; Andreyev, Slava

    Publication Year: 2010

    Source: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL. Los Angeles, CA: Association for Computational Linguistics, Jun 2010, p681–684

  13. Automated Content Scoring of Spoken Responses in an Assessment for Teachers of English

    Author(s): Zechner, Klaus ; Wang, Xinhao

    Publication Year: 2013

    Source: Proceedings of the Eighth Workshop on the Innovative Use of NLP for Building Educational Applications, Atlanta, GA, June 13, 2013, p73-81

  14. Evaluation of the e-rater Scoring Engine for the TOEFL Independent and Integrated Prompts

    Author(s): Ramineni, Chaitanya ; Trapani, Catherine S. ; Williamson, David M. ; Davey, Tim ; Bridgeman, Brent

    Publication Year: 2012

    Source: ETS Research Report

  15. Exploring Content Features for Automated Speech Scoring

    Author(s): Xie, ShaSha ; Evanini, Keelan ; Zechner, Klaus

    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, p103-111

  16. On Using Context for Automatic Correction of Non-Word Misspellings in Student Essays

    Author(s): Flor, Michael ; Futagi, Yoko

    Publication Year: 2012

    Source: Proceedings of the 7th Workshop on the Innovative Use of NLP for Building Educational Applications, Montreal, Canada, Jun 3-8, p105-115

  17. Correcting Comma Errors in Learner Essays, and Restoring Commas in Newswire Text

    Author(s): Israel, Ross ; 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, p284-294

  18. The E-rater Scoring Engine: Automated Essay Scoring with Natural Language Processing

    Author(s): Burstein, Jill

    Publication Year: 2003

    Source: Shermis, Mark D.; Burstein, Jill (eds.) Automated Essay Scoring: A Cross-Disciplinary Perspective. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers, 2003, p. 113-121

  19. Towards Automatic Scoring of a Test of Spoken Language with Heterogeneous Task Types

    Author(s): Zechner, Klaus ; Xi, Xiaoming

    Publication Year: 2008

    Source: Proceedings of the Third ACL Workshop on the Innovative Use of NLP for Building Educational Applications, Jun 2008, p98-106

  20. The Conceptual and Scientific Basis for Automated Scoring of Performance Items

    Author(s): Williamson, David M.

    Publication Year: 2012

    Source: Lissitz, Robert W.; Jiao, Hong (eds.) Computers and Their Impact on State Assessments: Recent History and Predictions for the Future. Charlotte, NC: Information Age Publishing, Inc., 2012, p157-193

  21. The Automated Text Adaptation Tool

    Author(s): Burstein, Jill ; Shore, Jane R. ; Sabatini, John P. ; Lee, Yong-Won ; Ventura, Matthew

    Publication Year: 2007

    Source: Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations on XX, Rochester, NY, Apr 23 - 25, 2007. Morristown, NJ: Associaion of Computational Linguistics, 2007, p3-4

  22. Using Parse Features for Preposition Selection and Error Detection

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

    Publication Year: 2010

    Source: Proceedings of the 2010 Association for Computational Linguistics (ACL 2010), p353-358

  23. 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

  24. 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

  25. Using Amazon Mechanical Turk for Transcription of Non-Native Speech

    Author(s): Evanini, Keelan ; Higgins, Derrick ; Zechner, Klaus

    Publication Year: 2010

    Source: Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Los Angeles, CA: Association for Computational Linguistics, Jun 2010, p53-56

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