The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 24, 2012

Filed:

Jun. 08, 2009
Applicants:

Caroline Privault, Montbonnot-Saint-Martin, FR;

Jacki O'neill, Grenoble, FR;

Jean-michel Renders, Quaix-en-Chartreuse, FR;

Victor Ciriza, La Tour du Pin, FR;

Yves Hoppenot, Notre Dame de Mesage, FR;

Inventors:

Caroline Privault, Montbonnot-Saint-Martin, FR;

Jacki O'Neill, Grenoble, FR;

Jean-Michel Renders, Quaix-en-Chartreuse, FR;

Victor Ciriza, La Tour du Pin, FR;

Yves Hoppenot, Notre Dame de Mesage, FR;

Assignee:

Xerox Corporation, Norwalk, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06F 5/00 (2006.01); G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A system and method for reviewing documents are provided. A collection of documents is portioned into sets of documents for review by a plurality of reviewers. For each set, documents in the set are displayed on a display device for review by a reviewer and temporarily organized through grouping and sorting. The reviewer's labels for the displayed documents are received. Based on the reviewer's labels, a class from a plurality of classes is assigned to each of the reviewed documents. A classifier model stored in computer memory is progressively trained, based on features extracted from the reviewed documents in the set and their assigned classes. Prior to review of all documents in the set, a calculated subset of documents for which the classifier model assigns a class different from the one assigned based on the reviewer's label is returned for a second review by a reviewer. Models generated from one or more other document sets can be used to assess the review of a first of the sets.


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