Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems

@article{Wang2014LeveragingSW,
  title={Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems},
  author={Lu Wang and Larry P. Heck and Dilek Z. Hakkani-T{\"u}r},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={4082-4086}
}
Training statistical dialog models in spoken dialog systems (SDS) requires large amounts of annotated data. The lack of scalable methods for data mining and annotation poses a significant hurdle for state-of-the-art statistical dialog managers. This paper presents an approach that directly leverage billions of web search and browse sessions to overcome this hurdle. The key insight is that task completion through web search and browse sessions is (a) predictable and (b) generalizes to spoken… CONTINUE READING
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Heck , and Gokhan Tur , “ Using a knowledge graph and query click logs for unsupervised learning of relation detection

  • Larry Heck, Dilek Hakkani-Tur, Gokhan Tur
  • ICASSP .
  • 2013

Hudek , Ihab F . Ilyas , and Grant Weddell , “ Interpreting keyword queries over web knowledge bases

  • Aditya Bhargava, Jeffrey Pound, K. Alexander
  • IEEE Workshop on Speech , Language and Audio in…
  • 2013

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