Finding the WRITE Stuff: Automatic Identification of Discourse Structure in Student Essays
IEEE Intelligent Systems
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NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
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COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
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That's nice... what can you do with it?
Computational Linguistics
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KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
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Automated essay scoring is now an established capability used from elementary school through graduate school for purposes of instruction and assessment. Newer applications provide automated diagnostic feedback about student writing. Feedback includes errors in grammar, usage, and mechanics, comments about writing style, and evaluation of discourse structure. This paper reports on a system that evaluates a characteristic of lower quality essay writing style: repetitious word use. This capability is embedded in a commercial writing assessment application, CriterionSM. The system uses a machine-learning approach with word-based features to model repetitious word use in an essay. System performance well exceeds several baseline algorithms. Agreement between the system and a single human judge exceeds agreement between two human judges.