- 专利标题: LEARNING LANGUAGE REPRESENTATION WITH LOGICAL INDUCTIVE BIAS
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申请号: US18077723申请日: 2022-12-08
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公开(公告)号: US20240193399A1公开(公告)日: 2024-06-13
- 发明人: Jianshu CHEN
- 申请人: TENCENT AMERICA LLC
- 申请人地址: US CA Palo Alto
- 专利权人: TENCENT AMERICA LLC
- 当前专利权人: TENCENT AMERICA LLC
- 当前专利权人地址: US CA Palo Alto
- 主分类号: G06N3/04
- IPC分类号: G06N3/04
摘要:
A method including receiving input comprising natural language texts; pre-training a First-Order Logic Network (FOLNet) neural network model on unlabeled texts included in the natural language texts, the FOLNet neural network model comprising of a plurality of layers; processing the input through the plurality of layers of the FOLNet neural network model; encoding a logical inductive bias using the FOLNet neural network model; outputting one or more tensors based on the logical inductive bias; and predicting an outcome using the one or more tensors.
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