Patent attributes
A method for dialog state tracking uses a neural network model, such as an MemN2N model, which has been trained to receive a representation of a question and a representation of a subpart of a dialog and to output an answer to the question. For at least one iteration, a subpart of a dialog is received. A representation of the subpart of the dialog is generated. The representation of the subpart of the input dialog and representation of a question are input to the trained neural network model. An answer is output by the neural network model, based on the representation of the question and the representation of the subpart of the input dialog. A dialog state for the dialog is updated, based on the answer to the question. The dialog state includes a set of variables. The updating includes predicting a value for at least one of the variables.
