The ultimate goal of dialog research is to develop systems that can be effectively used in interactive settings by real users. To this end, we introduced the Interactive Evaluation of Dialog Track at the 9th Dialog System Technology Challenge. This track consisted of two sub-tasks. The first sub-task involved building knowledge-grounded response generation models. The second sub-task aimed to extend dialog models beyond static datasets by assessing them in an interactive setting with real users. Our track challenges participants to develop strong response generation models and explore strategies that extend them to back-and-forth interactions with real users. The progression from static corpora to interactive evaluation introduces unique challenges and facilitates a more thorough assessment of open-domain dialog systems. This paper provides an overview of the track, including the methodology and results. Furthermore, it provides insights into how to best evaluate open-domain dialog models
@article{arxiv.2207.14403,
title = {Interactive Evaluation of Dialog Track at DSTC9},
author = {Shikib Mehri and Yulan Feng and Carla Gordon and Seyed Hossein Alavi and David Traum and Maxine Eskenazi},
journal= {arXiv preprint arXiv:2207.14403},
year = {2022}
}
Comments
Presented at LREC 2022 and DSTC9 Workshop at AAAI 2021