US 12,451,132 B2
Methods and systems for determining characteristics of a dialog between a computer and a user
Tuan Manh Lai, Lafayette, IN (US); Trung Bui, San Jose, CA (US); and Quan Tran, San Jose, CA (US)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Feb. 9, 2023, as Appl. No. 18/107,620.
Application 18/107,620 is a continuation of application No. 16/889,669, filed on Jun. 1, 2020, granted, now 11,610,584.
Prior Publication US 2023/0197081 A1, Jun. 22, 2023
Int. Cl. G10L 15/00 (2013.01); G10L 15/02 (2006.01); G10L 15/22 (2006.01); G10L 15/18 (2013.01); G10L 15/183 (2013.01)
CPC G10L 15/22 (2013.01) [G10L 15/02 (2013.01); G10L 15/1822 (2013.01); G10L 15/183 (2013.01)] 20 Claims
OG exemplary drawing
 
10. A system comprising:
a memory component; and
a processing device to perform operations comprising:
receiving a user utterance including user utterance tokens defining words generated by a user;
forming a dialog token sequence representing a dialog sequence by combining the user utterance tokens with system utterance tokens defining words of a system utterance generated by a computer system in response to the user utterance;
identifying a candidate topic represented as candidate topic tokens associated with a characteristic of the dialog sequence;
generating an input sequence by combining the dialog token sequence with the candidate topic tokens;
determining, using a machine learning model, a relevance score indicating a probability that the candidate topic is relevant to the dialog sequence by comparing the candidate topic tokens to the dialog token sequence; and
generating data indicating a dialog context including the candidate topic based on the relevance score.