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:
Sep. 15, 2020

Filed:

Dec. 30, 2018
Applicant:

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

Inventors:

Michal Shmueli-Scheuer, Tel Aviv, IL;

Ora Peled Nakash, Ramat David, IL;

Tommy Sandbank, Herzliyya, IL;

David Konopnicki, Haifa, IL;

Mordechai Taitelman, Shefayim, IL;

Hen Shkedi, Ramat Gan, IL;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/02 (2006.01); G10L 17/26 (2013.01); G06F 16/00 (2019.01); G10L 15/18 (2013.01); G06F 16/332 (2019.01); G06N 5/02 (2006.01); H04L 12/58 (2006.01); G10L 15/22 (2006.01); G10L 15/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/1815 (2013.01); G06F 16/3329 (2019.01); G06N 5/02 (2013.01); G10L 15/22 (2013.01); G10L 15/30 (2013.01); H04L 51/02 (2013.01); H04L 51/26 (2013.01); G10L 2015/223 (2013.01);
Abstract

For each intent associated with a feature in a discordant conversation, one or more preceding discordant user utterances and one or more following discordant user utterances are collected. A discordant distribution over terms of the one or more preceding discordant user utterances and the one or more following discordant user utterances is created. For each intent associated with a feature in a non-discordant conversation, one or more preceding non-discordant user utterances and one or more following non-discordant user utterances are collected. A non-discordant distribution over terms of the one or more preceding non-discordant user utterances and the one or more following non-discordant user utterances is created. The discordant and non-discordant distributions are compared and the top-k terms that are most specific to user utterances associated with the corresponding discordance feature using Kullback-Leibler divergence are determined. An intent dominancy score is generated to provide an analytical view of the discordant conversation.


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