Qin Wang

US Patent:

20220284191, Sep 8, 2022

Filed:

Mar 5, 2021

Appl. No.:

17/194118

Inventors:

- Redmond WA, US
Gonzalo ANIANO PORCILE - Redmond WA, US
Yu GAN - Redmond WA, US
Qin Iris WANG - Redmond WA, US
Haichao WEI - Redmond WA, US
Huiji GAO - Redmond WA, US

International Classification:

G06F 40/295
G06N 3/08
G06N 3/04
G06F 40/35
G06F 16/953

Abstract:

Embodiments of the described technologies are capable of reading a text sequence that include at least one word; extracting model input data from the text sequence, where the model input data includes, for each word of the text sequence, segment data and non-segment data; using a first machine learning model and at least one second machine learning model, generating, for each word of the text sequence, a multi-level feature set; outputting, by a third machine learning model, in response to input to the third machine learning model of the multi-level feature set, a tagged version of the text sequence; executing a search based at least in part on the tagged version of the text sequence.