Patent ID: 11954437
Assignee: WOEBOT LABS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system, comprising:
one or more data processors; and
a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
receiving an input phrase associated with a crisis situation;
applying a first classifier on the input phrase to determine that the input phrase does not trigger the first classifier;
applying a second classifier on the input phrase to determine that the input phrase triggers the second classifier, wherein the first classifier is one of a pattern matching classifier and a trained machine learning classifier, wherein the second classifier is the other of the pattern matching classifier and the trained machine learning classifier, wherein the pattern matching classifier classifies the input phrase according to preset matching criteria, and wherein the trained machine learning classifier is a transformer-based machine learning classifier that has been initially trained using pre-training training data for a language and further fine-tuned using fine-tuning training data associated with crisis situations;
determining a crisis score using the input phrase;
accessing one or more historical crisis scores;
determining a crisis score trend using the crisis score and the one or more historical crisis scores;

generating a trigger signal in response to determining that the input phrase triggers the second classifier and determining that the input phrase does not trigger the first classifier, wherein generating the trigger signal is further based on the crisis score and the crisis score trend; and
executing an abatement protocol in response to generation of the trigger signal, wherein execution of the abatement protocol is selected to mitigate the crisis situation.