Invention Grant
- Patent Title: Deep reinforced model for abstractive summarization
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Application No.: US16696527Application Date: 2019-11-26
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Publication No.: US11003704B2Publication Date: 2021-05-11
- Inventor: Romain Paulus
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes and Boone, LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06N3/08 ; G06F16/34 ; G06F17/27 ; G06F17/28 ; G06N3/00 ; G06F40/58 ; G06F40/284

Abstract:
A system for text summarization includes an encoder for encoding input tokens of a document and a decoder for emitting summary tokens which summarize the document based on the encoded input tokens. At each iteration the decoder generates attention scores between a current hidden state of the decoder and previous hidden states of the decoder, generates a current decoder context from the attention scores and the previous hidden states of the decoder, and selects a next summary token based on the current decoder context. The selection of the next summary token prevents emission of repeated summary phrases in a summary of the document.
Public/Granted literature
- US1788761A Machine-tool drive Public/Granted day:1931-01-13
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