The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 11, 2023

Filed:

Jan. 31, 2022
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Jered McInerney, Brighton, MA (US);

Wojciech Kryscinski, Palo Alto, CA (US);

Nazneen Rajani, Mountain View, CA (US);

Assignee:

Salesforce, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/166 (2020.01); G06N 5/022 (2023.01); G06F 40/20 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/166 (2020.01); G06F 40/20 (2020.01); G06F 40/40 (2020.01); G06N 5/022 (2013.01);
Abstract

Embodiments described herein provide methods and systems for summarizing multiple documents. A system receives a plurality of documents and generates embeddings of the sentences from the plurality of documents. The embedded sentences are clustered in a representation space. Sentences from a reference summary are embedded and aligned with the closest cluster. Sentences from each cluster are summarized with the aligned reference sentences as a target. A loss is computed based on the summarized sentences and the aligned references, and the natural language processing model is updated based on the loss. Sentences may be masked from being used in the summarization by identifying sentences that are contradicted by other sentences within the plurality of documents.


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