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. 07, 2020

Filed:

Mar. 09, 2018
Applicant:

Eduworks Corporation, Corvallis, OR (US);

Inventors:

Elaine Kelsey, Albany, OR (US);

Robby Jozef Maria Goetschalckx, Corvallis, OR (US);

Ronald Edward Ray, King City, OR (US);

Aaron J. Veden, Vancouver, WA (US);

Elliot Nicholas Robson, Corvallis, OR (US);

Robert O. Robson, Corvallis, OR (US);

Assignee:

Eduworks Corporation, Corvallis, OR (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/21 (2006.01); G06F 16/332 (2019.01); G06F 17/27 (2006.01); G06F 17/28 (2006.01); G06F 17/22 (2006.01);
U.S. Cl.
CPC ...
G06F 16/3329 (2019.01); G06F 17/2264 (2013.01); G06F 17/271 (2013.01); G06F 17/2785 (2013.01); G06F 17/2881 (2013.01);
Abstract

Computerized methods are disclosed for automated question generation from source documents through natural language processing, for applications including training and testing. Interleaved selection and transformation phases employ combined semantic-syntactic analysis to progressively refine natural input text into a high density of text fragments having high content value. Non-local semantic content and attributes such as emphasis attributes can be attached to the text fragments. The text fragments are reverse parsed by matching against a precomputed library of combined semantic-syntactic patterns. Once the patterns of each fragment are determined, transformation of fragments into question-answer pairs is performed using question selectors and answer selectors tailored to each pattern. Methods for constructing distractors, both internal and external, are also disclosed. The ecosystem of machine learning components, ontology resources, and process improvement are also described.


Find Patent Forward Citations

Loading…