A Classification-Based Approach to Automating Human-Robot Dialogue

Felix Gervits and Anton Leuski and Claire Bonial and Carla Gordon and David Traum

We present a dialogue system based on statistical classification which was used to automate human-robot dialogue in a collaborative navigation domain. The classifier was trained on a small corpus of multi-floor Wizard-of-Oz dialogue. We evaluate our system on several sets of source data from the corpus and find that response accuracy is generally high, even with very limited training data.

@inproceedings{gervits2019iwsds,
  title={A Classification-Based Approach to Automating Human-Robot Dialogue},
  author={Felix Gervits and Anton Leuski and Claire Bonial and Carla Gordon and David Traum},
  year={2019},
  booktitle={Proceedings of the International Workshop on Spoken Dialogue Systems (IWSDS)},
  url={https://hrilab.tufts.edu/publications/gervits2019iwsds.pdf}
}