US 11,880,659 B2
Hierarchical natural language understanding systems
Shiva Kumar Pentyala, Austin, TX (US); Jean-Marc Soumet, Sunnyvale, CA (US); Shashank Harinath, Mountain View, CA (US); Shilpa Bhagavath, Mountain View, CA (US); Johnson Liu, Santa Clara, CA (US); and Ankit Chadha, San Jose, CA (US)
Assigned to Salesforce, Inc., San Francisco, CA (US)
Filed by Salesforce, Inc., San Francisco, CA (US)
Filed on Jan. 29, 2021, as Appl. No. 17/162,318.
Prior Publication US 2022/0245349 A1, Aug. 4, 2022
Int. Cl. G06F 17/00 (2019.01); G06F 40/30 (2020.01); G06F 40/295 (2020.01); G06N 20/00 (2019.01)
CPC G06F 40/30 (2020.01) [G06F 40/295 (2020.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
inputting a representation of a first utterance to a first machine learning model to obtain information on the first utterance;
according to the information on the first utterance, determining that the representation of the first utterance is to be inputted to a second machine learning model that performs a dedicated natural language task; and
in response to determining that the representation of the first utterance is to be inputted to a second machine learning model, inputting the representation of the first utterance to the second machine learning model to obtain an output of the dedicated natural language task.