Generating dialogue flows from unlabeled conversation data using language models

Abstract

In various examples, a technique for generating dialogue flows includes inputting a plurality of conversations into a machine learning model. The technique also includes generating, based at least on the machine learning model processing the plurality of conversations, a plurality of annotations comprising a plurality of constrained semantic representations for respective messages of sequences of messages included in the plurality of conversations. The technique further includes generating one or more dialogue flows from the plurality of constrained semantic representations and causing a conversational output to be generated based on the one or more dialogue flows.

Dependencies are inferred from the claim text.