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:
Mar. 03, 2026

Filed:

Jun. 28, 2023
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Haoliang Wang, Sunnyvale, CA (US);

Kaige Xie, Atlanta, GA (US);

Tong Yu, Fremont, CA (US);

Junda Wu, Long Island City, NY (US);

Handong Zhao, Cupertino, CA (US);

Ruiyi Zhang, San Jose, CA (US);

Kanak Vivek Mahadik, San Jose, CA (US);

Ani Nenkova, Philadelphia, PA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/34 (2025.01); G06F 16/35 (2025.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/345 (2019.01); G06F 16/35 (2019.01);
Abstract

Dialogue state aware dialogue summarization techniques are described that enable generation of dialogue summaries from target domains with limited training data. A content processing system, for instance, generates one or more clusters based on training dialogues from one or more source domains. The clusters represent domain-specific features of the training dialogues and are further based on dialogue states of the training dialogues. The content processing system trains a machine learning model to generate summaries of dialogues by using the one or more clusters as prefixes in a prefix-tuning approach. The content processing system receives an input that includes a dialogue from a target domain. The content processing system generates an input prompt based on the dialogue and the one or more clusters, and the model generates a summary of the dialogue based on the input prompt.


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