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Methods for Automated Essay Analysis

Burstein, Jill; Marcu, Daniel; Andreyev, Vyacheslav; Chodorow, Martin; Leacock, Claudia
Patent Issued:
Sep 28, 2004
Patent Number:
ETS Patent
Document Type:
Family ID:
Subject/Key Words:
Patent, Active Patent, Automated Scoring and Natural Language Processing, Automated Essay Scoring (AES), Automated Response Evaluation, Discourse Annotation, Discourse-Based Diagnostics System, Conditional Distribution


An essay is analyzed automatically by accepting the essay and determining whether each of a predetermined set of features is present or absent in each sentence of the essay. For each sentence in the essay a probability that the sentence is a member of a certain discourse element category is calculated. The probability is based on the determinations of whether each feature in the set of features is present or absent. Furthermore, based on the calculated probabilities, a sentence is chosen as the choice for the discourse element category.

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