(Almost) Zero-Shot Cross-Lingual Spoken Language Understanding

@article{Upadhyay2018AlmostZC,
  title={(Almost) Zero-Shot Cross-Lingual Spoken Language Understanding},
  author={Shyam Upadhyay and Manaal Faruqui and G{\"o}khan T{\"u}r and Dilek Z. Hakkani-T{\"u}r and Larry Heck},
  journal={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2018},
  pages={6034-6038}
}
Spoken language understanding (SLU) is a component of goal-oriented dialogue systems that aims to interpret user's natural language queries in system's semantic representation format. While current state-of-the-art SLU approaches achieve high performance for English domains, the same is not true for other languages. Approaches in the literature for extending SLU models and grammars to new languages rely primarily on machine translation. This poses a challenge in scaling to new languages, as… CONTINUE READING

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Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

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Cross-lingual Transfer Learning for Spoken Language Understanding

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