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:
Oct. 25, 2022

Filed:

Jan. 15, 2021
Applicant:

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

Inventors:

Parker Hill, Ann Arbor, MI (US);

Jason Mars, Ann Arbor, MI (US);

Lingjia Tang, Ann Arbor, MI (US);

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

Johann Hauswald, Ann Arbor, MI (US);

Yiping Kang, Ann Arbor, MI (US);

Yunqi Zhang, Ann Arbor, MI (US);

Assignee:

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

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/00 (2006.01); G06N 20/00 (2019.01); G06N 5/04 (2006.01); G06F 40/30 (2020.01); G06F 16/332 (2019.01); G06K 9/62 (2022.01); G10L 15/18 (2013.01); G10L 15/22 (2006.01);
U.S. Cl.
CPC ...
G06N 3/006 (2013.01); G06F 16/3329 (2019.01); G06F 40/30 (2020.01); G06K 9/6215 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01);
Abstract

A system and method of configuring a graphical control structure for controlling a machine learning-based automated dialogue system includes configuring a root dialogue classification node that performs a dialogue intent classification task for utterance data input; configuring a plurality of distinct dialogue state classification nodes that are arranged downstream of the root dialogue classification node; configuring a graphical edge connection between the root dialogue classification node and the plurality of distinct state dialogue classification nodes that graphically connects each of the plurality of distinct state dialogue classification nodes to the root dialogue classification node, wherein (i) the root dialogue classification node, (ii) the plurality of distinct classification nodes, (iii) and the transition edge connections define a graphical dialogue system control structure that governs an active dialogue between a user and the machine learning-based automated dialogue system.


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