公开(公告)号：WO2022240558A1

公开(公告)日：2022-11-17

申请号：PCT/US2022/025487

申请日：2022-04-20

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHENG, Wei ,  CHEN, Haifeng ,  ZHANG, Xuchao ,  LUO, Dongsheng

IPC: G06F16/34 ,  G06F40/279 ,  G06F40/169 ,  G06N3/08 ,  G06N3/04 ,  G06F16/345 ,  G06F40/284 ,  G06F40/289

Abstract: A computer-implemented method is provided for keyphrase generation. The method includes pretraining (1210), by a processor device, a policy neural network on training documents using a sequence-to-sequence model. The training documents are each associated with a list of keyphrases included therein. The method further includes training (1220), by the processor device, the policy neural network using reinforcement learning with a summarization reward on present annotated keyphrases in an input training document and absent annotated keyphrase from the input training document that semantically describe a concept of the input training document. The method also includes predicting (1230), by the processor device, new keyphrases using the trained policy neural network.

公开(公告)号：WO2022109134A1

公开(公告)日：2022-05-27

申请号：PCT/US2021/059888

申请日：2021-11-18

Applicant: NEC LABORATORIES AMERICA, INC.

Inventor： CHENG, Wei ,  CHEN, Haifeng ,  NI, Jingchao ,  LUO, Dongsheng

IPC: G06N3/08 ,  G06N3/04 ,  G06N5/02

Abstract: Systems and methods for augmenting data sets is provided. The systems and methods include feeding an original document (120) into a data augmentation generator (210) to produce one or more augmented documents (220); calculating a contrastive loss (230) between the original document (120) and the one or more augmented documents (220); and using the original document (120) and the one or more augmented documents (220) to train a neural network (1030).