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:
Mar. 16, 2021

Filed:

Oct. 22, 2018
Applicant:

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

Inventors:

Devin A. Conley, Austin, TX (US);

Lakshminarayanan Krishnamurthy, Round Rock, TX (US);

Sridhar Sudarsan, Austin, TX (US);

Priscilla Santos Moraes, Pflugerville, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); H04L 12/58 (2006.01); G06N 5/02 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06F 16/35 (2019.01); G06K 9/6247 (2013.01); G06N 5/02 (2013.01); H04L 51/02 (2013.01);
Abstract

An engagement classifier for a group chatbot is trained by leveraging the implicit dataset generated by humans engaging in both direct messages as well as group conversations. Human-to-human direct messages are used as an approximate representation of the domain knowledge and expertise of each user. The decision to engage in a group conversation is assumed to be based on that domain knowledge. The knowledge representations and instances of engagements in group conversations yields an effective set of features and labels which can be used to model the engagement decision. The same transfer learning technique is used to generate a knowledge representation for the group chatbot. Given this representation of the domain knowledge of the chatbot, the classifier can predict whether it should engage in any particular group conversation.


Find Patent Forward Citations

Loading…