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. 28, 2025
Filed:
Dec. 19, 2023
Oracle International Corporation, Redwood Shores, CA (US);
Ying Xu, Albion, AU;
Poorya Zaremoodi, Melbourne, AU;
Thanh Tien Vu, Brisbane, AU;
Cong Duy Vu Hoang, Wantirna South, AU;
Vladislav Blinov, Melbourne, AU;
Yu-Heng Hong, Carlton, AU;
Yakupitiyage Don Thanuja Samodhye Dharmasiri, Melbourne, AU;
Vishal Vishnoi, Redwood City, CA (US);
Elias Luqman Jalaluddin, Seattle, WA (US);
Manish Parekh, San Jose, CA (US);
Thanh Long Duong, Pointcook, AU;
Mark Edward Johnson, Castle Cove, AU;
Oracle International Corporation, Redwood Shores, CA;
Abstract
Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. The method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. The method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.