Knowledge-based Dialog State Tracking

@article{Kadlec2014KnowledgebasedDS,
  title={Knowledge-based Dialog State Tracking},
  author={Rudolf Kadlec and Miroslav Vodol{\'a}n and Jindrich Libovick{\'y} and Jan Macek and Jan Kleindienst},
  journal={2014 IEEE Spoken Language Technology Workshop (SLT)},
  year={2014},
  pages={348-353}
}
This paper presents two discriminative knowledge-based dialog state trackers and their results on the Dialog State Tracking Challenge (DSTC) 2 and 3 datasets. The first tracker was submitted to the DSTC3 competition and scored second in the joint accuracy. The second tracker developed after the DSTC3 submission deadline gives even better results on the DSTC2 and DSTC3 datasets. It performs on par with the state of the art machine learning-based trackers while offering better interpretability… CONTINUE READING

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