FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents

Serra Sinem Tekiroglu, Bernardo Magnini, Marco Guerini


Abstract
We present a novel abstraction framework called FASTDial for designing task oriented dialogue agents, built on top of the OpenDial toolkit. This framework is meant to facilitate prototyping and development of dialogue systems from scratch also by non tech savvy especially when limited training data is available. To this end, we use a generic and simple frame-slots data-structure with pre-defined dialogue policies that allows for fast design and implementation at the price of some flexibility reduction. Moreover, it allows for minimizing programming effort and domain expert training time, by hiding away many implementation details. We provide a system demonstration screencast video in the following link: https://vimeo.com/329840716
Anthology ID:
P19-3013
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Marta R. Costa-jussà, Enrique Alfonseca
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
75–80
Language:
URL:
https://aclanthology.org/P19-3013
DOI:
10.18653/v1/P19-3013
Bibkey:
Cite (ACL):
Serra Sinem Tekiroglu, Bernardo Magnini, and Marco Guerini. 2019. FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 75–80, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
FASTDial: Abstracting Dialogue Policies for Fast Development of Task Oriented Agents (Tekiroglu et al., ACL 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/landing_page/P19-3013.pdf
Code
 serrasinem/FASTDial