Abstract: A computer-implemented method and an apparatus for facilitating training of conversational agents are disclosed. The method includes automatically extracting a workflow associated with each conversation from among a plurality of conversations between agents and customers of an enterprise. The workflow is extracted, at least in part, by encoding one or more utterances associated with the respective conversation and mapping the encoded one or more utterances to predefined workflow stages. A clustering of the plurality of conversations is performed based on a similarity among respective extracted workflows. The clustering of the plurality of conversations configures a plurality of workflow groups. At least one conversational agent is trained in customer engagement using a set of conversations associated with at least one workflow group from among the plurality of workflow groups.

Abstract: A computer-implemented method and an apparatus for facilitating training of conversational agents are disclosed. The method includes automatically extracting a workflow associated with each conversation from among a plurality of conversations between agents and customers of an enterprise. The workflow is extracted, at least in part, by encoding one or more utterances associated with the respective conversation and mapping the encoded one or more utterances to predefined workflow stages. A clustering of the plurality of conversations is performed based on a similarity among respective extracted workflows. The clustering of the plurality of conversations configures a plurality of workflow groups. At least one conversational agent is trained in customer engagement using a set of conversations associated with at least one workflow group from among the plurality of workflow groups.