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  • Patent number: 11928430
    Abstract: Techniques are described to determine whether an input utterance is unrelated to a set of skill bots associated with a master bot. In some embodiments, a system described herein includes a training system and a master bot. The training system trains a classifier of the master bot. The training includes accessing training utterances associated with the skill bots and generating training feature vectors from the training utterances. The training further includes generating multiple set representations of the training feature vectors, where each set representation corresponds to a subset of the training feature vectors, and configuring the classifier with the set representations. The master bot accesses an input utterance and generates an input feature vector. The master bot uses the classifier to compare the input feature vector to the multiple set representations so as to determine whether the input feature falls outside and, thus, cannot be handled by the skill bots.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: March 12, 2024
    Assignee: Oracle International Corporation
    Inventors: Crystal C. Pan, Gautam Singaraju, Vishal Vishnoi, Srinivasa Phani Kumar Gadde