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:
Aug. 29, 2023

Filed:

Jan. 31, 2022
Applicant:

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

Inventors:

Haopeng Zheng, San Francisco, CA (US);

Semih Yavuz, Redwood City, CA (US);

Wojciech Kryscinski, Palo Alto, CA (US);

Kazuma Hashimoto, Menlo Park, CA (US);

Yingbo Zhou, Palo Alto, CA (US);

Assignee:

salesforce.com, inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/34 (2019.01); G06F 40/166 (2020.01); G06N 20/00 (2019.01); G06F 40/117 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G06F 16/345 (2019.01); G06F 40/166 (2020.01); G06N 20/00 (2019.01); G06F 40/117 (2020.01); G06F 40/279 (2020.01);
Abstract

Embodiments described herein provide document summarization systems and methods that utilize fine-tuning of pre-trained abstractive summarization models to produce summaries that more faithfully track the content of the documents. Such abstractive summarization models may be pre-trained using a corpus consisting of pairs of articles and associated summaries. For each article-summary pair, a pseudo label or control code is generated and represents a faithfulness of the summary with respect to the article. The pre-trained model is then fine-tuned based on the article-summary pairs and the corresponding control codes. The resulting fine-tuned models then provide improved faithfulness in document summarization tasks.


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