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:
Feb. 21, 2023

Filed:

Mar. 21, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Boaz Carmeli, Koranit, IL;

Ateret Anaby Tavor, Givat Ada, IL;

Eyal Ben-David, Kibutz Yagur, IL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/18 (2013.01); G10L 15/16 (2006.01); G06F 16/36 (2019.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01);
U.S. Cl.
CPC ...
G10L 15/22 (2013.01); G10L 15/16 (2013.01); G10L 15/1822 (2013.01); G06F 16/36 (2019.01); G06F 16/367 (2019.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/56 (2020.01); G10L 15/1815 (2013.01); G10L 2015/225 (2013.01);
Abstract

Embodiments may determine user intent in conversations with dialogue systems so as to improve the quality of such conversations and to reduce the number of failed conversations. For example, a method may comprise receiving, at a dialogue system, a first text utterance from a user, generating a plurality of second text utterances at the dialogue system in response to the received text utterance, generating a third text utterance based on each generated second text utterance using a trained deep neural network model, generating a score indicating a quality of each conversation, wherein each conversation includes the first text utterance, one of the second text utterances, and the third text utterance based on the one of the second text utterances, and outputting to the user the second text utterance included in the conversation having the highest quality score.


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