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Results for: AU:"Marcu, Daniel"

7 results found, sorted by relevance

  1. Translation Exercise Assistant: Automated Generation of Translation Exercises for Native- ...

    Author(s): Burstein, Jill C. ; Marcu, Daniel

    Publication Year: 2005

    Source: Proceedings of HLT/EMNLP on Interactive Demonstrations, p16-17, Oct 2005

  1. Evaluating Multiple Aspects of Coherence in Student Essays

    Author(s): Higgins, Derrick ; Burstein, Jill C. ; Marcu, Daniel ; ...

    Publication Year: 2004

    Source: Proceedings of the 2004 Conference of the North American Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, 2004, p185-192

  1. Automated Evaluation of Discourse Structure in Student Essays

    Author(s): Burstein, Jill ; Marcu, Daniel

    Publication Year: 2003

    Source: Shermis, Mark D.; Burstein, Jill (eds.) Automated Essay Scoring: A Cross-Disciplinary Perspective. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers, 2003, p209-229

  1. A Machine Learning Approach for Identification of Thesis and Conclusion Statements in ...

    Author(s): Burstein, Jill ; Marcu, Daniel

    Publication Year: 2003

    Source: Computers and the Humanities, v37 n5 p455-467, Nov 2003

  1. Finding the WRITE Stuff: Automatic Identification of Discourse Structure in Student Essays

    Author(s): Burstein, Jill ; Marcu, Daniel ; Knight, Kevin

    Publication Year: 2003

    Source: IEEE Intelligent Systems, v18 n1 p32-39, Jan/Feb 2003

  1. Benefits of Modularity in an Automated Essay Scoring System

    Author(s): Burstein, Jill C. ; Marcu, Daniel

    Publication Year: 2000

    Source: Proceedings of the Workshop on Using Toolsets and Architectures to Build NLP Systems, 18th International Conference on Computational linguistics, Luxembourg, Aug 2000

  1. Towards Automatic Classification of Discourse Elements in Essays

    Author(s): Burstein, Jill ; Marcu, Daniel ; Andreyev, Slava ; Chodorow ...

    Publication Year: 2001

    Source: Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, 2001, p98-105

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