Graph2Bots, Unsupervised Assistance for Designing Chatbots
Jean-Leon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina M. Rojas Barahona, Vincent Lemaire
Abstract
We present Graph2Bots, a tool for assisting conversational agent designers. It extracts a graph representation from human-human conversations by using unsupervised learning. The generated graph contains the main stages of the dialogue and their inner transitions. The graphical user interface (GUI) then allows graph editing.- Anthology ID:
- W19-5915
- Volume:
- Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
- Month:
- September
- Year:
- 2019
- Address:
- Stockholm, Sweden
- Editors:
- Satoshi Nakamura, Milica Gasic, Ingrid Zuckerman, Gabriel Skantze, Mikio Nakano, Alexandros Papangelis, Stefan Ultes, Koichiro Yoshino
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 114–117
- Language:
- URL:
- https://aclanthology.org/W19-5915
- DOI:
- 10.18653/v1/W19-5915
- Cite (ACL):
- Jean-Leon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina M. Rojas Barahona, and Vincent Lemaire. 2019. Graph2Bots, Unsupervised Assistance for Designing Chatbots. In Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, pages 114–117, Stockholm, Sweden. Association for Computational Linguistics.
- Cite (Informal):
- Graph2Bots, Unsupervised Assistance for Designing Chatbots (Bouraoui et al., SIGDIAL 2019)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W19-5915.pdf