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.
Patent No.:
Date of Patent:
Jan. 14, 2025
Filed:
Apr. 01, 2022
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Mohit Sewak, Pune, IN;
Ravi Kiran Reddy Poluri, Samammish, WA (US);
William Blum, Bellevue, WA (US);
Pak On Chan, Seattle, WA (US);
Weisheng Li, Bothell, WA (US);
Sharada Shirish Acharya, Seattle, WA (US);
Christian Rudnick, Seattle, WA (US);
Michael Abraham Betser, Kirkland, WA (US);
Milenko Drinic, Kenmore, WA (US);
Sihong Liu, Redmond, WA (US);
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Abstract
The technology described herein determines whether a candidate text is in a requested class by using a generative model that may not be trained on the requested class. The present technology may use of a model trained primarily in an unsupervised mode, without requiring a large number of manual user-input examples of a label class. The may produce a semantically rich positive example of label text from a candidate text and label. Likewise, the technology may produce from the candidate text and the label a semantically rich negative example of label text. The labeling service makes use of a generative model to produce a generative result, which estimates the likelihood that the label properly applies to the candidate text. In another aspect, the technology is directed toward a method for obtaining a semantically rich example that is similar to a candidate text.