Extracting Structured Data from Handwritten and Audio Notes

Patent №

US 10,691,885

Granted

2020-06-23

Filed 2017

Owner

EVERNOTE CORPORATION

Lab

AI components

5

ml · nlp · speech · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15475001

This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

AI classification

Natural language1.00
Speech1.00
Knowledge representation1.00
Machine learning0.89
Planning0.71
Vision0.28
AI hardware0.07
Evolutionary computation0.00

Ownership

EVERNOTE CORPORATION

assignment · 426400791

Assignors

O'NEILL, CHRIS, MALCOLM, ANDREW, PASHINTSEV, ALEXANDER, LIVSHITZ, EUGENE, GORBATOV, BORIS, GALAKTIONOVA, NATALIA, BURYAK, ILYA

On an employer assignment, the assignors are typically the inventors.

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