Dialog system capable of semantic understanding mapping between user intentions and machine services

摘要

A dialogue system and an intelligent personnel assistant capable of semantics-understanding mapping between user intentions and machine services. The dialog system contains an interface to receive a language or text request from a user. The semantics of the request, which contains at least one element of units, intention or context, is extracted from the request of the user. A sequence of action features is selected on the basis of the extracted semantics. a sequence of application program interfaces (APIs),which corresponds to the sequence of action features is then executed to produce a result. An action sequence optimizer can optimize the sequence of action features based on the user configuration. The examples provide a technical solution to model a richer semantic understanding mapping between user intentions and available APIs, which will significantly improve user experience in the language dialogue system as the core of the personal wizard.