Spoken language understanding and interaction: machine learning for human-like conversational systems

@article{Gai2017SpokenLU,
  title={Spoken language understanding and interaction: machine learning for human-like conversational systems},
  author={M. Ga{\vs}i{\'c} and Dilek Z. Hakkani-T{\"u}r and A. Çelikyilmaz},
  journal={Comput. Speech Lang.},
  year={2017},
  volume={46},
  pages={249-251}
}
Abstract In recent years, the interest in research in speech understanding and spoken interaction has soared due to the emergence of virtual personal assistants. However, while the ability of these agents to recognise conversational speech is maturing rapidly, their ability to understand and interact is still limited. At the same time we have witnessed the development of the number of models based on machine learning that made a huge impact on spoken language understanding accuracies and the… Expand
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