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. 02, 2021

Filed:

Dec. 04, 2018
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Lixiu Yu, Pittsburgh, PA (US);

Alessandro Oltramari, Pittsburgh, PA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/9032 (2019.01); G06F 40/00 (2020.01); H04W 4/029 (2018.01); G06K 9/62 (2006.01); G10L 15/06 (2013.01); H04M 3/51 (2006.01);
U.S. Cl.
CPC ...
G06F 16/90332 (2019.01); G06F 40/00 (2020.01); G06K 9/6262 (2013.01); G10L 15/063 (2013.01); H04M 3/5116 (2013.01); H04W 4/029 (2018.02);
Abstract

A crowdsourced dialogue system includes a first and second computer system, a training system, and an automated response system. The first computer system includes a caller interface operated by a non-expert user and to generate caller dialogue data based on inputs to the first computer system from the non-expert user. The second computer system includes an expert interface operated by an expert user and to generate expert dialogue data based on inputs to the second computer system from the expert user. The training system includes a general domain dialogue database. The training system is configured to generate a domain-specific dialogue database based on the caller dialogue data and the expert dialogue data. The automated response system includes a chatbot that is trained with the general domain dialogue database and the domain-specific dialogue database to generate natural language dialogue data at least in a domain of the domain-specific dialogue database.


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