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
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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/W19-5915.pdf