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:
May. 24, 2016

Filed:

May. 06, 2015
Applicant:

Digital Reasoning Systems, Inc., Franklin, TN (US);

Inventors:

Timothy Wayne Estes, Nashville, TN (US);

James Johnson Gardner, Austin, TX (US);

Matthew Russell, Franklin, TN (US);

Phillip Daniel Michalak, Spring Hill, TN (US);

Assignee:

DIGITAL REASONING SYSTEMS, INC., Franklin, TN (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06F 17/27 (2006.01); G06F 17/30 (2006.01); G06F 17/28 (2006.01);
U.S. Cl.
CPC ...
G06F 17/2785 (2013.01); G06F 17/278 (2013.01); G06F 17/28 (2013.01); G06F 17/30368 (2013.01); G06F 17/30412 (2013.01); G06F 17/30864 (2013.01); G06F 17/30997 (2013.01);
Abstract

In one aspect, the present disclosure relates to a method which, in one example embodiment, can include reading text data corresponding to messages, creating semantic annotations to the text data to generate one or more annotated messages, and aggregating the annotated messages and storing information associated with the aggregated annotated messages in a message store. The method can further include performing, based on information from the message store and associated with the one or more messages, one or more global analytics functions that include: identifying an annotation error in the semantic annotations created using the trained statistical language model, updating the respective semantic annotation to correct the annotation error, and back-propagating corrected data corresponding to the updated semantic annotation into training data for further language model training.


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