Incremental processing of noisy user utterances in the spoken language understanding task

@inproceedings{Constantin2019IncrementalPO,
  title={Incremental processing of noisy user utterances in the spoken language understanding task},
  author={Stefan Constantin and Jan Niehues and Alexander H. Waibel},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2019}
}
The state-of-the-art neural network architectures make it possible to create spoken language understanding systems with high quality and fast processing time. One major challenge for real-world applications is the high latency of these systems caused by triggered actions with high executions times. If an action can be separated into subactions, the reaction time of the systems can be improved through incremental processing of the user utterance and starting subactions while the utterance is… 

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