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US Patent 10521465 Deep reinforced model for abstractive summarization

Patent 10521465 was granted and assigned to Salesforce.com, Inc. on December, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Current Assignee
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10521465
Date of Patent
December 31, 2019
Patent Application Number
16452339
Date Filed
June 25, 2019
Patent Citations Received
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US Patent 12086539 System and method for natural language processing using neural network with cross-task training
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US Patent 11487999 Spatial-temporal reasoning through pretrained language models for video-grounded dialogues
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US Patent 11948665 Systems and methods for language modeling of protein engineering
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US Patent 11971712 Self-aware visual-textual co-grounded navigation agent
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US Patent 11487939 Systems and methods for unsupervised autoregressive text compression
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US Patent 11537801 Structured text translation
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US Patent 11544465 Using unstructured input to update heterogeneous data stores
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US Patent 11562147 Unified vision and dialogue transformer with BERT
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Patent Primary Examiner
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Mohammad K Islam
Patent 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 and a current encoder context of the encoder. The attention scores penalize candidate summary tokens having high attention scores in previous iterations. In some embodiments, the attention scores include an attention score for each of the previous hidden states of the decoder. In some embodiments, the selection of the next summary token prevents emission of repeated summary phrases in a summary of the document.

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