Invention Grant
- Patent Title: Extracting structured data from handwritten and audio notes
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Application No.: US16908590Application Date: 2020-06-22
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Publication No.: US11550995B2Publication Date: 2023-01-10
- Inventor: Chris O'Neill , Andrew Malcolm , Alexander Pashintsev , Eugene Livshitz , Boris Gorbatov , Natalia Galaktionova , Ilya Buryak
- Applicant: EVERNOTE CORPORATION
- Applicant Address: US CA Redwood City
- Assignee: EVERNOTE CORPORATION
- Current Assignee: EVERNOTE CORPORATION
- Current Assignee Address: US CA Redwood City
- Agency: Morgan, Lewis & Bockius LLP
- Main IPC: G06F40/279
- IPC: G06F40/279 ; G06F40/186

Abstract:
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.
Public/Granted literature
- US20210012062A1 Extracting Structured Data from Handwritten and Audio Notes Public/Granted day:2021-01-14
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