Machine learning to propose actions in response to natural language questions

A system comprising:

• a data repository storing:
• a new natural language issue statement,
• a trained issue machine learning model (MLM), wherein the trained issue MLM is trained using a plurality of prior natural language issue statements associated with ones of a plurality of prior natural language action statements,
• an issue vector comprising an embedded version of the new natural language issue statement,
• an actions matrix comprising a plurality of centroid vectors calculated using a clustering method from a second output of a trained action MLM applied to a plurality of prior actions taken as a result of prior natural language issue statements,
• wherein the trained action MLM and the trained issue MLM were trained concurrently by providing an inner product of a first output of the trained action MLM and a second output of the trained issue MLM to a sigmoid gate, using a third output of the sigmoid gate to generate a loss function, and using the loss function to train both the trained issue MLM and the trained action MLM,
• a plurality of probabilities associated with the plurality of prior actions, wherein each of the plurality of probabilities represents a corresponding estimate that a corresponding prior action is relevant to the issue vector,
• a threshold value,
• a subset of the plurality of prior actions having probabilities above the threshold value, and
• a list of proposed actions relevant to the issue vector;
• a machine learning execution engine, wherein the machine learning execution engine is configured to:
• embed, by the trained issue MLM, the new natural language issue statement into the issue vector,
• receiving an output of a trained action MLM which embedded the plurality of prior natural language action statements by embedding a plurality of prior actions expressed in the prior natural language action statements,
• calculating, using a clustering method, an actions matrix from the output of the trained action MLM, wherein the actions matrix comprises a plurality of centroid vectors, and
• calculate an inner product of the issue vector and the actions matrix to form the plurality of probabilities;
• and
• an action selection engine executable by a processor to:
• compare the plurality of probabilities to the threshold value,
• select the subset of the plurality of prior actions with corresponding probabilities above the threshold value, wherein selecting the subset forms a list of proposed actions, and
• transmit the list of proposed actions to a user device.