Susanne Erika Wolff, 77890 End Ave, New York, NY 10025

6366759, Apr 2, 2002

Oct 20, 2000

09/693210

Jill C. Burstein - Princeton NJ
Martin S. Chodorow - New York NY
Bruce A. Kaplan - Lawrenceville NJ
Karen Kukich - Annandale NJ
Chi Lu - Princeton NJ
Donald A. Rock - Lawrenceville NJ
Susanne Wolff - New York NY

Educational Testing Service - Princeton NJ

G09B 700

434353, 434354, 434322, 434350, 434363, 382321, 704 4, 704 5, 704 6

A method of grading an essay using an automated essay scoring system is provided. The method comprises the automated steps of (a) parsing the essay to produce parsed text, wherein the parsed text is a syntactic representation of the essay, (b) using the parsed text to create a vector of syntactic features derived from the essay, (c) using the parsed text to create a vector of rhetorical features derived from the essay, (d) creating a first score feature derived from the essay, (e) creating a second score feature derived from the essay, and (f) processing the vector of syntactic features, the vector of rhetorical features, the first score feature, and the second score feature to generate a score for the essay. The essay scoring system comprises a Syntactic Feature Analysis program which creates a vector of syntactic features of the electronic essay text, a Rhetorical Feature Analysis program which creates a vector of rhetorical features of the electronic essay text, an EssayContent program which creates a first Essay Score Feature, an ArgContent program which creates a second Essay Score Feature, and a scoring engine which generates a final score for the essay from the vector of syntactic features, the vector of rhetorical features, the first score feature, and the second score feature.

6181909, Jan 30, 2001

Jul 22, 1998

9/120427

Jill C. Burstein - Princeton NJ
Martin S. Chodorow - New York NY
Bruce A. Kaplan - Lawrenceville NJ
Karen Kukich - Annandale NJ
Chi Lu - Princeton NJ
Donald A. Rock - Lawrenceville NJ
Susanne Wolff - New York NY

Educational Testing Service - Princeton NJ

G09B 700

434353

A method of grading an essay using an automated essay scoring system is provided. The method comprises the automated steps of (a) parsing the essay to produce parsed text, wherein the parsed text is a syntactic representation of the essay, (b) using the parsed text to create a vector of syntactic features derived from the essay, (c) using the parsed text to create a vector of rhetorical features derived from the essay, (d) creating a first score feature derived from the essay, (e) creating a second score feature derived from the essay, and (f) processing the vector of syntactic features, the vector of rhetorical features, the first score feature, and the second score feature to generate a score for the essay. The essay scoring system comprises a Syntactic Feature Analysis program which creates a vector of syntactic features of the electronic essay text, a Rhetorical Feature Analysis program which creates a vector of rhetorical features of the electronic essay text, an EssayContent program which creates a first Essay Score Feature, an ArgContent program which creates a second Essay Score Feature, and a scoring engine which generates a final score for the essay from the vector of syntactic features, the vector of rhetorical features, the first score feature, and the second score feature.

6115683, Sep 5, 2000

Mar 31, 1997

8/828247

Jill C. Burstein - Howell NJ
Randy Mark Kaplan - West Chester PA
Susanne Wolff - New York NY
Chi Lu - Princeton NJ

Educational Testing Service - Princeton NJ

G06F 1730
G06K 900

704 1

A system for carrying out a content-based process for automatically scoring essays is disclosed. The system includes a computer; a data storage device; a parse tree file stored in the data storage device, the parse tree file being representative of an essay in a parse tree format; a morphology stripping program; a concept extraction program for creating, on the basis of a morphology-stripped parse tree file, a phrasal node file; and a rule matching scoring program for scoring the essay on the basis of the phrasal node file.