US 12,451,123 B2
Methods for natural language model training in natural language understanding (NLU) systems
Jeffry Copps Robert Jose, Tamil Nadu (ID); and Mithun Umesh, Bangalore (IN)
Assigned to ADEIA GUIDES INC., San Jose, CA (US)
Filed by Adeia Guides Inc., San Jose, CA (US)
Filed on Jun. 18, 2024, as Appl. No. 18/746,439.
Application 18/746,439 is a continuation of application No. 18/113,984, filed on Feb. 24, 2023, granted, now 12,046,230.
Application 18/113,984 is a continuation of application No. 16/805,342, filed on Feb. 28, 2020, granted, now 11,626,103, issued on Apr. 11, 2023.
Prior Publication US 2025/0022455 A1, Jan. 16, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 15/06 (2013.01); G06F 16/23 (2019.01); G06F 16/9032 (2019.01); G10L 15/14 (2006.01); G10L 15/16 (2006.01); G10L 15/18 (2013.01); G10L 15/26 (2006.01)
CPC G10L 15/063 (2013.01) [G06F 16/23 (2019.01); G06F 16/90332 (2019.01); G10L 15/142 (2013.01); G10L 15/16 (2013.01); G10L 15/18 (2013.01); G10L 15/26 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
receiving a query;
determining whether the query comprises an obsequious expression;
wherein when the query does not comprise the obsequious expression, the method further comprises causing output of a first reply to the query; and
wherein when the query does comprise the obsequious expression, the method further comprises:
identifying a non-obsequious portion of the query;
determining the obsequious expression does not describe or correspond to the non-obsequious portion of the query; and
causing output of a second reply to the query that is different than the first reply to the query.