CONTEXT-SENSITIVE GENERATION OF CONVERSATIONAL RESPONSES

摘要

Examples are generally directed towards context-sensitive generation of conversational responses. Context-message-response n-tuples are extracted from at least one source of conversational data to generate a set of training context-message-response n-tuples. A response generation engine is trained on the set of training context-message-response n-tuples. The trained response generation engine automatically generates a context-sensitive response based on a user generated input message and conversational context data. A digital assistant utilizes the trained response generation engine to generate context-sensitive, natural language responses that are pertinent to user queries.

主权项

1. A computer-implemented method for state-free generation of context-sensitive conversational responses, said method comprising:
accessing conversational context data from a set of context data sources associated with a user, by a response generation engine trained on a plurality of context-message-response n-tuples extracted from at least one source of conversational data, the conversational context data corresponding to a user generated message associated with a current conversation; and generating a context-sensitive response to the user generated message, by the response generation engine, based on the conversational context data and the user generated message.