发明公开
- 专利标题: SEMANTIC TEMPLATE MATCHING
-
申请号: US17537559申请日: 2021-11-30
-
公开(公告)号: US20230169786A1公开(公告)日: 2023-06-01
- 发明人: Zhong Fang Yuan , Tong Liu , Li Juan Gao , Peng HuangFu , Si Heng Sun , Yi Chen Zhong
- 申请人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 申请人地址: US NY Armonk
- 专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人: INTERNATIONAL BUSINESS MACHINES CORPORATION
- 当前专利权人地址: US NY Armonk
- 主分类号: G06V30/412
- IPC分类号: G06V30/412 ; G06V10/82 ; G06V30/414 ; G06V30/14 ; G06V30/146 ; G06V30/19 ; G06V10/36 ; G06T7/73 ; G06N3/04
摘要:
A system and method for field extraction including determining a key position of a key in an electronic file, isolating candidate key values based on a distance from the key position, selecting a key value from the candidate key values based on an output of a trained neural network, and extracting the key and the key value from the electronic file, regardless of a key-value structure.
公开/授权文献
- US11881042B2 Semantic template matching 公开/授权日:2024-01-23
信息查询