Invention Application
- Patent Title: KEYPHRASE GENERATION FOR TEXT SEARCH WITH OPTIMAL INDEXING REGULARIZATION VIA REINFORCEMENT LEARNING
-
Application No.: US17723994Application Date: 2022-04-19
-
Publication No.: US20220374600A1Publication Date: 2022-11-24
- Inventor: Wei Cheng , Haifeng Chen , Xuchao Zhang , Dongsheng Luo
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Main IPC: G06F40/289
- IPC: G06F40/289 ; G06F40/169 ; G06F40/284 ; G06F16/34 ; G06N3/08

Abstract:
A computer-implemented method is provided for keyphrase generation. The method includes pretraining, 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, 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, by the processor device, new keyphrases using the trained policy neural network.
Information query