The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 29, 2025

Filed:

Dec. 08, 2022
Applicant:

Tencent America Llc, Palo Alto, CA (US);

Inventors:

Hongming Zhang, Mill Creek, WA (US);

Wenlin Yao, Palo Alto, CA (US);

Dong Yu, Palo Alto, CA (US);

Assignee:

TENCENT AMERICA LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 16/334 (2025.01); G06F 40/237 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/284 (2020.01); G06F 16/3344 (2019.01); G06F 40/30 (2020.01); G06F 40/237 (2020.01); G06F 40/279 (2020.01);
Abstract

A method for zero-shot event extraction, performed by a computer device. The method includes training a context encoder, a first definition encoder, and a second definition encoder with auto extracted context-definition alignment data; retrieving a plurality of verbal synsets from a lexical database; refining a representation model based on the context-definition alignment data and the plurality of verbal synsets; encoding a plurality of candidate event type definitions; encoding the refined representation model with the trained context encoder; and determining whether the encoded representation model belongs to one of the plurality of candidate event type definitions based on a cosine similarity between the encoded representation model, the trained context encoder, the first trained definition encoder, and the second trained definition encoder.


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