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:
Dec. 24, 2019

Filed:

Mar. 22, 2019
Applicant:

Blackboiler Llc, Arlington, VA (US);

Inventors:

Jonathan Herr, Washington, DC (US);

Daniel Edward Simonson, Arlington, VA (US);

Daniel P. Broderick, Arlington, VA (US);

Assignee:

BLACKBOILER, LLC, Arlington, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 17/27 (2006.01); G06F 17/24 (2006.01); G06F 16/36 (2019.01); G06F 16/383 (2019.01); G06F 16/35 (2019.01);
U.S. Cl.
CPC ...
G06F 17/274 (2013.01); G06F 16/35 (2019.01); G06F 16/36 (2019.01); G06F 16/383 (2019.01); G06F 17/241 (2013.01); G06F 17/2755 (2013.01);
Abstract

A method for suggesting revisions to a document-under-analysis from a seed database, the seed database including a plurality of original texts each respectively associated with one of a plurality of final texts, the method for suggesting revisions including selecting a statement-under-analysis ('SUA'), selecting a first original text of the plurality of original texts, determining a first edit-type classification of the first original text with respect to its associated final text, generating a first similarity score for the first original text based on the first edit-type classification, the first similarity score representing a degree of similarity between the SUA and the first original text, selecting a second original text of the plurality of original texts, determining a second edit-type classification of the second original text with respect to its associated final text, generating a second similarity score for the second original text based on the second edit-type classification, the second similarity score representing a degree of similarity between the SUA and the second original text, selecting a candidate original text from one of the first original text and the second original text, and creating an edited SUA ('ESUA') by modifying a copy of the first SUA consistent with a first candidate final text associated with the first candidate original text.


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