Invention Grant
- Patent Title: Extracting facts from unstructured data
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Application No.: US15211250Application Date: 2016-07-15
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Publication No.: US10783448B2Publication Date: 2020-09-22
- Inventor: Gil Shklarski , Amy Abernethy , Benjamin Birnbaum , Geoffrey Calkins , Dominique Connolly , Joseph Delgado , Joseph DiLallo , James Dura , Daniel Eisenberg , Lauren Ellsworth , Ross Feinstein , Jeremy Feinstein , Caitlin Keenan , Jeremy Kohansimeh , Dennis Lee , Elijah Meerson , Catherine Miller , Joseph Mou , Nathan Nussbaum , Cynthia Revol , Paul Richardson , Maayan Roth , Melisa Tucker , Nathaniel Turner , Zachary Weinberg , Paul You
- Applicant: Flatiron Health Inc.
- Applicant Address: US NY New York
- Assignee: FLATIRON HEALTH, INC.
- Current Assignee: FLATIRON HEALTH, INC.
- Current Assignee Address: US NY New York
- Agency: Finnegan, Henderson, Farabow, Garrett & Dunner LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G16H50/70

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, to present a video. One of the methods includes obtaining one or more unstructured documents. The method includes obtaining, by a computer system, a data model, the data model identifying a type of fact that can be determined from the one or more unstructured documents. The method includes determining, by the computer system, a channel to extract facts from the document based on the type of fact. The method includes distributing, by the computer system, the one or more unstructured documents to the channel. The method includes extracting, by the channel, facts from the one or more unstructured documents. The method also includes storing the facts in a data model.
Public/Granted literature
- US20170039341A1 EXTRACTING FACTS FROM UNSTRUCTURED DATA Public/Granted day:2017-02-09
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