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:
Aug. 26, 2025

Filed:

Mar. 28, 2024
Applicant:

Pryon Incorporated, Raleigh, NC (US);

Inventors:

Ellen Eide Kislal, Leawood, KS (US);

David Nahamoo, Great Neck, NY (US);

Vaibhava Goel, Chappaqua, NY (US);

Etienne Marcheret, White Plains, NY (US);

Steven John Rennie, Yorktown Heights, NY (US);

Chul Sung, Fort Lee, NJ (US);

Marie Wenzel Meteer, Arlington, MA (US);

Assignee:

Pryon Incorporated, Raleigh, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2452 (2019.01); G06F 16/248 (2019.01); G06F 16/3329 (2025.01); G06F 40/30 (2020.01); G06N 3/044 (2023.01); G06N 3/08 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06V 30/414 (2022.01); G10L 25/54 (2013.01); G16H 40/20 (2018.01);
U.S. Cl.
CPC ...
G06F 16/24522 (2019.01); G06F 16/248 (2019.01); G06F 16/3329 (2019.01); G06F 40/30 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 30/414 (2022.01);
Abstract

A question-answering system that receive a natural-language question includes a database to provide a basis for that answer and a structured-query generator that constructs a structured query from the question and uses it to obtain an answer to the question from the database. The method further comprises generating a first answer to said first question, wherein generating said first answer comprises causing said question to traverse a first path through said question-answering system, wherein the first path comprises a knowledge base constructed from content of the document collection using a machine learning BERT model; and causing said question to traverse a second path through said question-answering system to generate a second answer to said question, said second answer differing from said first answer, wherein the second path comprises a structured query generator and the database, the database being distinct from the knowledge base.


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