IP Library Granted Patent US 11,798,556
Granted Patent B2
US 11,798,556 · App. 17/575,699 · Granted Oct 24, 2023

Configurable output data formats

Inventors: Rohan Mutagi (Redmond, WA); Felix Wu (Seattle, WA); Rongzhou Shen (Bothell, WA); Neelam Satish Agrawal (Mountlake Terrace, WA); Vibhunandan Gavini (Mercer Island, WA); Pablo Carballude Gonzalez (Seattle, WA)
Assignee: Amazon Technologies, Inc.
G10L15/22G06F3/167G06F16/00G10L13/08G10L15/1815G10L15/30G10L17/22G10L13/00G10L15/00G10L2015/223
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Quick Facts
Patent No.
US 11,798,556
App. No.
17/575,699
Granted
Oct 24, 2023
Kind
B2
Abstract

Configurable core domains of a speech processing system are described. A core domain output data format for a given command is originally configured with default content portions. When a user indicates additional content should be output for the command, the speech processing system creates a new output data format for the core domain. The new output data format is user specific and includes both default content portions as well as user preferred content portions.

Claims (60)

1. A computer-implemented method, comprising:

receiving input data representing a natural language command;

determining that output responsive to the natural language command is to include first content of a default content type;

identifying a profile associated with the input data;

determining that the profile is associated with a non-default content type;

determining, based at least in part on the profile being associated with the non-default content type, that the output is to additionally include second content of the non-default content type;

receiving first data responsive to the natural language command, the first data corresponding to the default content type;

receiving second data responsive to the natural language command, the second data corresponding to the non-default content type; and

based at least in part on the first data and the second data, causing the output to include at least the first content of the default content type and the second content of the non-default content type.

2. The computer-implemented method of claim 1 , further comprising:

determining a category of the natural language command,

wherein determining that the output is to additionally include the second content of the non-default content type is based at least in part on the category.

3. The computer-implemented method of claim 1 , further comprising:

determining a geographic location corresponding to the input data,

wherein determining that the output is to additionally include the second content of the non-default content type is based at least in part on the geographic location.

4. The computer-implemented method of claim 1 , further comprising:

determining a first skill corresponding to the non-default content type; and

determining a first component corresponding to the first skill;

wherein the second data is received from the first component.

5. The computer-implemented method of claim 4 , wherein determining the first skill is based at least in part on the profile.

6. The computer-implemented method of claim 4 , further comprising:

determining a second component, different from the first component, corresponding to the default content type;

wherein the first data is received from the second component.

7. The computer-implemented method of claim 1 , wherein the first data and the second data correspond to a same domain of a natural language processing system.

8. The computer-implemented method of claim 1 , further comprising:

generating an output data format including a first slot to be populated with the first content and a second slot to be populated with the second content; and

configuring output data corresponding to the output data format, the output data including the first data in the first slot and the second data in the second slot,

wherein causing the output to include at least the first content and the second content uses the output data.

9. The computer-implemented method of claim 8 , wherein generating the output data format is based at least in part on the profile.

10. A system, comprising:

at least one processor; and

at least one memory comprising instructions that, when executed by the at least one processor, cause the system to:

receive input data representing a natural language command;

determine that output responsive to the natural language command is to include first content of a default content type;

identify a profile associated with the input data;

determine that the profile is associated with a non-default content type;

determine, based at least in part on the profile being associated with the non-default content type, that the output is to additionally include second content of the non-default content type;

receive first data responsive to the natural language command, the first data corresponding to the default content type;

receive second data responsive to the natural language command, the second data corresponding to the non-default content type; and

based at least in part on the first data and the second data, cause the output to include at least the first content of the default content type and the second content of the non-default content type.

11. The system of claim 10 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:

determine a category of the natural language command; and

determine that the output is to additionally include the second content of the non-default content type based at least in part on the category.

12. The system of claim 11 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:

determine a geographic location corresponding to the input data; and

determine that the output is to additionally include the second content of the non-default content type based at least in part on the geographic location.

13. The system of claim 10 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:

determine a first skill corresponding to the non-default content type;

determine a first component corresponding to the first skill; and

receive the first data from the first component.

14. The system of claim 13 , wherein determination of the first skill is based at least in part on the profile.

15. The system of claim 14 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:

determine a second component, different from the first component, corresponding to the default content type; and

receive the second data from the second component.

16. The system of claim 11 , wherein the first data and the second data correspond to a same domain of a natural language processing system.

17. The system of claim 11 , wherein the at least one memory further comprises instructions that, when executed by the at least one processor, further cause the system to:

generate an output data format including a first slot to be populated with the first content and a second slot to be populated with the second content;

configure output data corresponding to the output data format, the output data including the first data in the first slot and the second data in the second slot; and

cause the output to include the first content and the second content based at least in part on the output data.

18. The system of claim 17 , wherein generation of the output data format is based at least in part on the profile.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 14, 2022
From: MUTAGI, ROHAN; WU, FELIX; SHEN, RONGZHOU; AGRAWAL, NEELAM SATISH; GAVINI, VIBHUNANDAN; CARBALLUDE GONZALEZ, PABLO
To: AMAZON TECHNOLOGIES, INC.
Reel/Frame 058655/0012 →
Continuity (3)
Continuation 16569780 · Sep 13, 2019
Continuation 15611228 · Jun 1, 2017
Related Publication 20220139395A1 · May 5, 2022
Cited By (1)
US 12,190,885