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. 19, 2019

Filed:

Sep. 29, 2015
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Silke Witt-Ehsani, Sunnyvale, CA (US);

Giuseppe Pino Di Fabbrizio, Brookline, MA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/00 (2013.01); G10L 15/14 (2006.01); G10L 25/51 (2013.01); G10L 15/05 (2013.01); G10L 15/18 (2013.01); G10L 15/06 (2013.01); G10L 15/197 (2013.01); G10L 13/027 (2013.01); G10L 15/22 (2006.01); G10L 15/08 (2006.01);
U.S. Cl.
CPC ...
G10L 25/51 (2013.01); G10L 13/027 (2013.01); G10L 15/05 (2013.01); G10L 15/063 (2013.01); G10L 15/18 (2013.01); G10L 15/197 (2013.01); G10L 15/22 (2013.01); G10L 2015/081 (2013.01); G10L 2015/223 (2013.01);
Abstract

A speech-based system is configured to interact with a user through speech to determine intents and goals of the user. The system may analyze multiple dialog turns in order to determine and fully define a goal that the user is trying to express. Each dialog turn comprises a user utterance. Each dialog turn may also comprise a system speech response. In order to evaluate the performance of the system, logged data is analyzed to identify goal segments within the logged data, where a goal segment is a sequence of dialog turns that relate to a corresponding user goal. A subset of the dialog turns is annotated manually to delineate goal segments. A predictive model is then constructed based on the manually annotated goal segments. The predictive model is then used to identify goal segments formed by additional dialog turns.


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