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. 02, 2025

Filed:

Feb. 18, 2022
Applicants:

The Governing Council of the University of Toronto, Toronto, CA;

Unity Health Toronto, Toronto, CA;

Inventors:

Faiza Khan Khattak, Etobicoke, CA;

Frank Rudzicz, Toronto, CA;

Muhammad Mamdani, Toronto, CA;

Noah Crampton, Toronto, CA;

Serena Jeblee, Toronto, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/26 (2006.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01); G16H 10/60 (2018.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 15/26 (2013.01); G06F 40/284 (2020.01); G06N 20/00 (2019.01); G10L 15/16 (2013.01); G10L 15/1822 (2013.01); G10L 15/183 (2013.01); G16H 10/60 (2018.01); G10L 2015/088 (2013.01);
Abstract

Described herein are systems and methods of extracting information from a dialogue, the dialogue having transcription data associated therewith. In an embodiment, the method including: receiving the transcription data associated with the dialogue; classifying utterances in the transcription data using a trained classification machine learning model, the classification machine learning model trained using one or more corpora of historical data comprising previous dialogues labelled with utterance types; identifying entities in the transcription data; classifying attributes in the transcription data using a trained attribute machine learning model, the attribute machine learning model trained using one or more corpora of historical data comprising previous dialogues labelled with attributes; and outputting at least one of the utterances, the entities, and the attributes.


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