- 专利标题: Machine-learning techniques for augmenting electronic documents with data-verification indicators
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申请号: US17108424申请日: 2020-12-01
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公开(公告)号: US11687716B2公开(公告)日: 2023-06-27
- 发明人: Navita Goyal , Vipul Shankhpal , Priyanshu Gupta , Ishika Singh , Baldip Singh Bijlani , Anandha velu Natarajan
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Kilpatrick Townsend & Stockton LLP
- 主分类号: G06F40/289
- IPC分类号: G06F40/289 ; G06F40/35 ; G06F16/9038 ; G06F16/901 ; G06N5/022 ; G06F16/35 ; G06F40/30 ; G06N20/00 ; G06N5/02
摘要:
This disclosure involves executing machine-learning techniques for transforming or otherwise processing electronic data. This disclosure, for example, relates to executing machine-learning techniques to generate data-verification indicators that augment electronic documents to represent the veracity of text. The machine-learning techniques include neural networks trained to retrieve and analyze evidence regarding content of electronic documents and to generate indicators of veracity to be displayed with that content via electronic reading software.
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