Invention Grant
- Patent Title: Machine-learning based automated document integration into genealogical trees
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Application No.: US18121997Application Date: 2023-03-15
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Publication No.: US12248451B2Publication Date: 2025-03-11
- Inventor: Jack Reese , Luca Lugini , Yingrui Yang , Simon Chu , Gopalkrishna Balkrishna Veni
- Applicant: Ancestry.com Operations Inc.
- Applicant Address: US UT Lehi
- Assignee: Ancestry.com Operations Inc.
- Current Assignee: Ancestry.com Operations Inc.
- Current Assignee Address: US UT Lehi
- Agency: Fenwick & West LLP
- Main IPC: G06F16/22
- IPC: G06F16/22 ; G06F40/295 ; G06V30/32 ; G06V30/413 ; G06V30/416

Abstract:
Systems and methods for importing documents are described. An input image is received and preprocessed. OCR and/or page segmentation and chapter detection are performed. Special-case processing is performed for lists, tables, free text, and other categories. Anaphora analysis, stemming, lemmatization, and relationship detection are performed. A genealogical tree is generated, augmented, or merged based on the extracted entities and relationships.
Public/Granted literature
- US20230325373A1 MACHINE-LEARNING BASED AUTOMATED DOCUMENT INTEGRATION INTO GENEALOGICAL TREES Public/Granted day:2023-10-12
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