- 专利标题: TRAINING AND APPLYING STRUCTURED DATA EXTRACTION MODELS
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申请号: US17849174申请日: 2022-06-24
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公开(公告)号: US20220327138A1公开(公告)日: 2022-10-13
- 发明人: Gregorio Benincasa , Andrea Schiavi , Huiting Liu , Tom Bird , Uwais Iqbal , Petar Petrov , Jordan Muscatello , Gwyneth Harrison-Shermoen , Domenico Flauto , Sinan Guclu , Jacob Cozens
- 申请人: EIGEN TECHNOLOGIES LTD
- 申请人地址: GB London
- 专利权人: EIGEN TECHNOLOGIES LTD
- 当前专利权人: EIGEN TECHNOLOGIES LTD
- 当前专利权人地址: GB London
- 优先权: GB1911760.5 20190816
- 主分类号: G06F16/25
- IPC分类号: G06F16/25
摘要:
A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the selected data extraction model.
公开/授权文献
- US11768884B2 Training and applying structured data extraction models 公开/授权日:2023-09-26
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