Patent ID: 11941361
Assignee: UNIFIED COMPLIANCE FRAMEWORK (NETWORK FRONTIERS)
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method in a computing system to establish a trained machine learning model, the method comprising:
accessing a plurality of training examples each comprising:
a sentence;
information identifying one or more multi-word expressions occurring in the sentence; and
for each multi-word expression identified as occurring in the sentence, an indication of whether the multi-word expression is a noun multi-word expression or a verb multi-word expression;

for each of the plurality of training examples:
for each of a plurality of constituent models, invoking the constituent model against the training example's sentence to obtain a constituent model result for the training example's sentence that identifies one or more portions of the training example's sentence each as a multi-word expression and specifies whether each multi-word expression is a noun multi-word expression or a verb multi-word expression;
constructing a training observation corresponding to the training example that comprises:
independent variable values comprising:
the training example's sentence; and
the constituent model result obtained for each of the plurality of constituent models; and

dependent variable values comprising:
the training example's information identifying one or more multi-word phrases occurring in the sentence; and

using the constructed training observation to train the machine learning model to predict dependent variable values based on independent variable values.