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:
Feb. 13, 2024

Filed:

Jul. 07, 2021
Applicant:

Nference, Inc., Cambridge, MA (US);

Inventors:

Murali Aravamudan, Andover, MA (US);

Venkataramanan Soundararajan, Andover, MA (US);

Ajit Rajasekharan, West Windsor, NJ (US);

Assignee:

nference, Inc., Cambridge, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G16B 50/00 (2019.01); G06N 5/022 (2023.01); G06F 40/30 (2020.01); G16B 50/10 (2019.01); G16B 50/30 (2019.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 40/30 (2020.01); G06N 5/022 (2013.01); G16B 50/00 (2019.02); G16B 50/10 (2019.02); G16B 50/30 (2019.02); G06N 3/044 (2023.01);
Abstract

Disclosed systems, methods, and computer readable media can detect an association between semantic entities and generate semantic information between entities. For example, semantic entities and associated semantic collections present in knowledge bases can be identified. A time period can be determined and divided into time slices. For each time slice, word embeddings for the identified semantic entities can be generated; a first semantic association strength between a first semantic entity input and a second semantic entity input can be determined; and a second semantic association strength between the first semantic entity input and semantic entities associated with a semantic collection that is associated with the second semantic entity can be determined. An output can be provided based on the first and second semantic association strengths.


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