Word-Based Dialog State Tracking with Recurrent Neural Networks

@inproceedings{Henderson2014WordBasedDS,
  title={Word-Based Dialog State Tracking with Recurrent Neural Networks},
  author={Matthew Henderson and Blaise Thomson and Steve J. Young},
  booktitle={SIGDIAL Conference},
  year={2014}
}
Recently discriminative methods for tracking the state of a spoken dialog have been shown to outperform traditional generative models. This paper presents a new wordbased tracking method which maps directly from the speech recognition results to the dialog state without using an explicit semantic decoder. The method is based on a recurrent neural network structure which is capable of generalising to unseen dialog state hypotheses, and which requires very little feature engineering. The method… CONTINUE READING
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