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US Patent 11170158 Abstractive summarization of long documents using deep learning

Patent 11170158 was granted and assigned to Adobe on November, 2021 by the United States Patent and Trademark Office.

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Patent
Patent
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Patent attributes

Patent Applicant
Adobe
Adobe
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Current Assignee
Adobe
Adobe
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
111701580
Date of Patent
November 9, 2021
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Patent Application Number
201803080
Date Filed
March 8, 2018
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Patent Citations Received
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US Patent 11854531 Cross-class ontology integration for language modeling
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US Patent 11636847 Ontology-augmented interface
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US Patent 11699432 Cross-context natural language model generation
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US Patent 11790889 Feature engineering with question generation
Patent Primary Examiner
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Hope C Sheffield
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Patent abstract

Techniques are disclosed for abstractive summarization process for summarizing documents, including long documents. A document is encoded using an encoder-decoder architecture with attentive decoding. In particular, an encoder for modeling documents generates both word-level and section-level representations of a document. A discourse-aware decoder then captures the information flow from all discourse sections of a document. In order to extend the robustness of the generated summarization, a neural attention mechanism considers both word-level as well as section-level representations of a document. The neural attention mechanism may utilize a set of weights that are applied to the word-level representations and section-level representations.

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