Patent ID: 9679557
Date: 2017-06-13
CPC Classifications: G10L

Claim:
1. A computer-implemented method for automatic training of a dialogue system, in order to generate semantic annotations automatically on the basis of a received speech input, the method comprising the following steps: receiving, by the dialogue system, at least one speech input in the course of an interaction with a user; generating, by the dialogue system, a symbolic representation from the speech input by performing recognition on the received speech input; registering and appraising, by the dialogue system, a sense content of the symbolic representation of the received speech input, by the symbolic representation being classified on the basis of a trainable semantic model, in order to make a semantic annotation available automatically for the received speech input; controlling, by the dialogue system, a vehicle component based on the semantic annotation; receiving, by the dialogue system, additional user information representing a function selection of a vehicle component by the user; automatic learning of the sense content of the received speech input, by the dialogue system, on the basis of the additional user information, if a connection between the reception of the speech input and the additional user information is determined on the basis of a temporal and semantic correlation, or semantic correlation, repeating iteratively, by the dialogue system, the receiving of additional user information and automatic learning of the sense content of the received speech input until a termination condition is satisfied.