Domain-specific conversational automated assistant

A computer-implemented method, comprising:

• for each first question of a plurality of first questions:
• generating, using a conversational language model, a first target response based on the first question;
• submitting, using one or more processors of a processing system, a first action query to the conversational language model in response to the first target response;
• generating, using the conversational language model, a first target action recommendation based on the first action query, the first target response, and the first question;
• generating, using the one or more processors, a single-turn in-domain training example comprising the first question, the first target response, and the first target action recommendation;
• generating, using the conversational language model, a second question based on the first target response and the first question;
• generating, using the conversational language model, a second target response based on the second question, the first target response, and the first question;
• submitting, using the one or more processors, a second action query to the conversational language model in response to the second target response;
• generating, using the conversational language model, a second target action recommendation based on the second action query, the second target response, the second question, the first target response, and the first question;
• and
• generating, using the one or more processors, a double-turn in-domain training example comprising the first question, the first target response, the second question, the second target response, and the second target action recommendation;
• and
• training an automated assistant, using the one or more processors, based on a training set, wherein the training set includes one or more of the single-turn in-domain training examples, and one or more of the double-turn in-domain training examples.