US 12,229,523 B2
Search-engine-augmented dialogue response generation with cheaply supervised query production
Linfeng Song, Bellevue, WA (US)
Assigned to TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed by TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed on Sep. 6, 2022, as Appl. No. 17/903,223.
Prior Publication US 2024/0078393 A1, Mar. 7, 2024
Int. Cl. G10L 15/22 (2006.01); G06F 40/49 (2020.01); G06F 40/56 (2020.01)
CPC G06F 40/49 (2020.01) [G06F 40/56 (2020.01); G10L 15/22 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for neural network based dialogue generation, the method being performed by at least one processor, the method comprising:
receiving an input dialogue context;
determining at least one entity referenced by a pronoun in the input dialogue context;
generating content focused input dialogue context based on discarding function words from the input dialogue context;
generating queries based on the input dialogue context using a query generating neural network, wherein the query generating neural network is trained using a cheap noisy supervision function;
retrieving responses from a web-based search engine based on the generated queries; and
generating dialogue based on the retrieved responses and the input dialogue context.