Invention Grant
- Patent Title: Method and system for mapping labels in standardized tables using machine learning
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Application No.: US15930702Application Date: 2020-05-13
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Publication No.: US11900272B2Publication Date: 2024-02-13
- Inventor: Yan Chen , Agrima Srivastava , Dakshina Murthy Malladi
- Applicant: FACTSET RESEARCH SYSTEM, INC.
- Applicant Address: US NY New York
- Assignee: FACTSET RESEARCH SYSTEM INC.
- Current Assignee: FACTSET RESEARCH SYSTEM INC.
- Current Assignee Address: US NY New York
- Agency: Hunton Andrews Kurth LLP
- Main IPC: G06F16/30
- IPC: G06F16/30 ; G06N5/04 ; G06F16/25 ; G06N20/00

Abstract:
A method and system for mapping labels of documents is described. A training set including a plurality of documents and at least one map can be retrieved. Each document can include a plurality of labels, and the at least one map can represent associations between the labels of one document and another document in the set. Each document (or group of documents) in the set can include certain features. These features can relate to the labels in the documents. Each label can correspond to one or more data points (or datasets) in each documents. In one example embodiment, the map can be generated based on the features extracted from each document.
Public/Granted literature
- US20210357775A1 METHOD AND SYSTEM FOR MAPPING LABELS IN STANDARDIZED TABLES USING MACHINE LEARNING Public/Granted day:2021-11-18
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