@InProceedings{ultes-EtAl:2018:SIGdial,
  author    = {Ultes, Stefan  and  Budzianowski, Paweł  and  Casanueva, Iñigo  and  Rojas Barahona, Lina M.  and  Tseng, Bo-Hsiang  and  Wu, Yen-chen  and  Young, Steve  and  Gasic, Milica},
  title     = {Addressing Objects and Their Relations: The Conversational Entity Dialogue Model},
  booktitle = {Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {273--283},
  abstract  = {Statistical spoken dialogue systems usually rely on a single- or multi-domain dialogue model that is restricted in its capabilities of modelling complex dialogue structures, e.g., relations. In this work, we propose a novel dialogue model that is centred around entities and is able to model relations as well as multiple entities of the same type. We demonstrate in a prototype implementation benefits of relation modelling on the dialogue level and show that a trained policy using these relations outperforms the multi-domain baseline. Furthermore, we show that by modelling the relations on the dialogue level, the system is capable of processing relations present in the user input and even learns to address them in the system response.},
  url       = {http://www.aclweb.org/anthology/W18-5032}
}