SYSTEM AND METHOD FOR USING ALTERNATE RECOGNITION HYPOTHESES TO IMPROVE WHOLE-DIALOG UNDERSTANDING ACCURACY
First Claim
1. A computer-implemented method of using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the method comprising:
- receiving an utterance as part of a user dialog;
generating an N-best list of recognition hypotheses for the user dialog;
selecting an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list; and
responding to the user based on the selected underlying user intention.
2 Assignments
0 Petitions
Accused Products
Abstract
Disclosed herein are systems, computer-implemented methods, and tangible computer-readable media for using alternate recognition hypotheses to improve whole-dialog understanding accuracy. The method includes receiving an utterance as part of a user dialog, generating an N-best list of recognition hypotheses for the user dialog turn, selecting an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list, and responding to the user based on the selected underlying user intention. Selecting an intention can further be based on confidence scores associated with recognition hypotheses in the generated N-best lists, and also on the probability of a user'"'"'s action given their underlying intention. A belief or cumulative confidence score can be assigned to each inferred user intention.
395 Citations
20 Claims
-
1. A computer-implemented method of using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the method comprising:
-
receiving an utterance as part of a user dialog; generating an N-best list of recognition hypotheses for the user dialog; selecting an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list; and responding to the user based on the selected underlying user intention. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
-
-
10. A system for using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the system comprising:
-
a module configured to receive an utterance as part of a user dialog turn; a module configured to generate an N-best list of recognition hypotheses for the user dialog turn; a module configured to select an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list; and a module configured to respond to the user based on the selected underlying user intention. - View Dependent Claims (11, 12, 13, 14, 15)
-
-
16. A tangible computer-readable medium storing a computer program having instructions for using alternate recognition hypotheses to improve whole-dialog understanding accuracy, the instructions comprising:
-
receiving an utterance as part of a user dialog turn; generating an N-best list of recognition hypotheses for the user dialog turn; selecting an underlying user intention based on a belief distribution across the generated N-best list and at least one contextually similar N-best list; and responding to the user based on the selected underlying user intention. - View Dependent Claims (17, 18, 19, 20)
-
Specification