Chi Yu Lu

US Patent:

6366759, Apr 2, 2002

Filed:

Oct 20, 2000

Appl. No.:

09/693210

Inventors:

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

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G09B 700

US Classification:

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

Abstract:

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.

US Patent:

7088949, Aug 8, 2006

Filed:

Dec 16, 2002

Appl. No.:

10/319623

Inventors:

Jill Burstein - Princeton NJ, US
Slava Andreyev - Pennington NJ, US
Chi Lu - Princeton NJ, US

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G09B 3/02

US Classification:

434353, 704 1

Abstract:

To automatically evaluate an essay, the essay is applied to a plurality of trait models and a plurality of trait scores are determined based on the plurality of trait models. Each of these trait scores having been generated from a respective trait model. In addition, a score is determined based on the plurality of trait scores.

US Patent:

7769339, Aug 3, 2010

Filed:

Jul 27, 2006

Appl. No.:

11/460413

Inventors:

Jill Burstein - Princeton NJ, US
Slava Andreyev - Pennington NJ, US
Chi Lu - Princeton NJ, US

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G09B 11/00

US Classification:

434353, 434362

Abstract:

To automatically evaluate an essay, the essay is applied to a plurality of trait models and a plurality of trait scores are determined based on the plurality of trait models. Each of these trait scores having been generated from a respective trait model. In addition, a score is determined based on the plurality of trait scores.

US Patent:

8467716, Jun 18, 2013

Filed:

Jul 30, 2010

Appl. No.:

12/846983

Inventors:

Jill Burstein - Princeton NJ, US
Vyacheslav Andreyev - Pennington NJ, US
Chi Lu - Princeton NJ, US

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G09B 11/00
G09B 7/00

US Classification:

434353

Abstract:

Systems and methods for building a trait model for essay evaluation are provided. At least one evaluated essay is received. A plurality of features pertaining to one or more traits from the at least one evaluated essay are identified and extracted. The one or more traits comprise writing errors, discourse, or vocabulary usage. A plurality of vector files based upon the plurality of features are created. A trait model for essay evaluation based upon the plurality of vector files is built. The trait model is evaluated, where the evaluation includes mapping features of a new essay to the trait model by navigating a multi-branched decision tree. At each branch of the decision tree, a value associated with the features of the new essay is used to determine how to proceed through the trait model.

US Patent:

61819093, Jan 30, 2001

Filed:

Jul 22, 1998

Appl. No.:

9/120427

Inventors:

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

Assignee:

Educational Testing Service - Princeton NJ

International Classification:

G09B 700

US Classification:

434353

Abstract:

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.