Translating natural language utterances to search queries for SLU domain detection using query click logs

@article{HakkaniTr2012TranslatingNL,
  title={Translating natural language utterances to search queries for SLU domain detection using query click logs},
  author={Dilek Z. Hakkani-T{\"u}r and G{\"o}khan T{\"u}r and Rukmini Iyer and Larry P. Heck},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2012},
  pages={4953-4956}
}
Logs of user queries from a search engine (such as Bing or Google) together with the links clicked provide valuable implicit feedback to improve statistical spoken language understanding (SLU) models. However, the form of natural language utterances occurring in spoken interactions with a computer differs stylistically from that of keyword search queries. In this paper, we propose a machine translation approach to learn a mapping from natural language utterances to search queries. We train… CONTINUE READING

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