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:
Jun. 09, 2020

Filed:

Apr. 10, 2019
Applicant:

Clinc, Inc., Ann Arbor, MI (US);

Inventors:

Yiping Kang, Ann Arbor, MI (US);

Yunqi Zhang, Ann Arbor, MI (US);

Jonathan K. Kummerfeld, Ann Arbor, MI (US);

Parker Hill, Ann Arbor, MI (US);

Johann Hauswald, Ann Arbor, MI (US);

Michael A. Laurenzano, Ann Arbor, MI (US);

Lingjia Tang, Ann Arbor, MI (US);

Jason Mars, Ann Arbor, MI (US);

Assignee:

Clinc, Inc., Ann Arbor, MI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06F 16/332 (2019.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06F 16/3329 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods of intelligent formation and acquisition of machine learning training data for implementing an artificially intelligent dialogue system includes constructing a corpora of machine learning test corpus that comprise a plurality of historical queries and commands sampled from production logs of a deployed dialogue system; configuring training data sourcing parameters to source a corpora of raw machine learning training data from remote sources of machine learning training data; calculating efficacy metrics of the corpora of raw machine learning training data, wherein calculating the efficacy metrics includes calculating one or more of a coverage metric value and a diversity metric value of the corpora of raw machine learning training data; using the corpora of raw machine learning training data to train the at least one machine learning classifier if the calculated coverage metric value of the corpora of machine learning training data satisfies a minimum coverage metric threshold.


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