公开(公告)号：US20240193399A1

公开(公告)日：2024-06-13

申请号：US18077723

申请日：2022-12-08

申请人： TENCENT AMERICA LLC

发明人： Jianshu CHEN

IPC分类号： G06N3/04

CPC分类号： G06N3/04 ,  G06K9/6259

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.

公开(公告)号：US20240211694A1

公开(公告)日：2024-06-27

申请号：US18089283

申请日：2022-12-27

申请人： TENCENT AMERICA LLC

发明人： Xiaoman PAN ,  Wenlin YAO ,  Hongming ZHANG ,  Dian YU ,  Dong YU ,  Jianshu CHEN

IPC分类号： G06F40/30 ,  G06F40/242 ,  G06N20/00

CPC分类号： G06F40/30 ,  G06F40/242 ,  G06N20/00

摘要： A method including: receiving an input comprising natural language texts; selecting, via a knowledge selector, one of a plurality of knowledge categories from an external memory based on a context of the input; retrieving one or more helpful knowledge pieces from the selected knowledge category; augmenting the input using the one or more helpful knowledge pieces; feeding the augmented input into a text-to-text model; and generating an output answer based on the text-to-text model.