Key points are not available for this paper at this time.
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.
Burstein et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: