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Methods for Automated Essay Analysis

Burstein, Jill; Marcu, Daniel; Andreyev, Vyacheslav; Chodorow, Martin; Leacock, Claudia
Patent Issued:
May 28, 2013
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, Mathematical Models, Empirical Frequency


Systems and methods for creating a mathematical model for use in identifying discourse elements are described. A plurality of first essays relating to a particular subject are received, where each first essay is in an electronic format. Annotations for each first essay are received, where each annotation identifies at least one discourse element. Features are identified with a processor, where each feature is exhibited by at least one identified discourse element. Empirical frequencies are computed with a processor, where each empirical frequency relates to the presence of a feature with respect to the identified discourse elements across the plurality of first essays. Each empirical frequency is associated with the related identified discourse element with a processor. The empirical frequencies are utilized to select discourse elements in at least one second essay.

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