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:
Nov. 18, 2025

Filed:

Jun. 16, 2023
Applicant:

Fmr Llc, Boston, MA (US);

Inventors:

Ali Limon, Hopkinton, MA (US);

Vineel Gujjar, Cumberland, RI (US);

Lisa Huang, Boston, MA (US);

Assignee:

FMR LLC, Boston, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/0639 (2023.01); G06F 40/205 (2020.01); G06F 40/295 (2020.01); G06V 30/19 (2022.01); G06V 30/412 (2022.01);
U.S. Cl.
CPC ...
G06Q 10/06393 (2013.01); G06F 40/205 (2020.01); G06F 40/295 (2020.01); G06V 30/19093 (2022.01); G06V 30/412 (2022.01);
Abstract

A method for evaluating electronic documents based on a framework having a plurality of labels includes receiving a plurality of electronic documents, each electronic document having a company identifier. The method includes extracting a plurality of input sentences from each electronic document. The method includes generating a plurality of input sentence embeddings, each input sentence embedding corresponding to one of the input sentences. The method includes generating a plurality of label embeddings, each label embedding corresponding to one of the labels. The method includes calculating a plurality of similarity measures between each of the input sentence embeddings and each of the label embeddings. The method includes generating a plurality of label sentences for each of the labels based on the similarity measures, each of the label sentences being associated with one of the company identifiers. The method includes generating a plurality of entities for each of the label sentences.


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