Integrating dialog history into end-to-end spoken language understanding systems

A method for spoken language understanding, comprising:

• receiving audio signals representing a current utterance in a conversation and a dialog history including at least information associated with past utterances corresponding to the current utterance in the conversation;
• encoding the dialog history into an embedding;
• and
• training a spoken language understanding neural network model to perform a spoken language understanding task based on input features including at least speech features associated with the received audio signals and the embedding.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions readable by a device to cause the device to:

• receive audio signals representing a current utterance in a conversation and a dialog history including at least information associated with past utterances corresponding to the current utterance in the conversation;
• encode the dialog history into an embedding;
• and
• train a spoken language understanding neural network model to perform a spoken language understanding task based on input features comprising speech features associated with the received audio signals and the embedding.