This paper introduces the Seventh Dialog System Technology Challenges (DSTC), which use shared datasets to explore the problem of building dialog systems. Recently, end-to-end dialog modeling approaches have been applied to various dialog tasks. The seventh DSTC (DSTC7) focuses on developing technologies related to end-to-end dialog systems for (1) sentence selection, (2) sentence generation and (3) audio visual scene aware dialog. This paper summarizes the overall setup and results of DSTC7, including detailed descriptions of the different tracks and provided datasets. We also describe overall trends in the submitted systems and the key results. Each track introduced new datasets and participants achieved impressive results using state-of-the-art end-to-end technologies.
@article{arxiv.1901.03461,
title = {Dialog System Technology Challenge 7},
author = {Koichiro Yoshino and Chiori Hori and Julien Perez and Luis Fernando D'Haro and Lazaros Polymenakos and Chulaka Gunasekara and Walter S. Lasecki and Jonathan K. Kummerfeld and Michel Galley and Chris Brockett and Jianfeng Gao and Bill Dolan and Xiang Gao and Huda Alamari and Tim K. Marks and Devi Parikh and Dhruv Batra},
journal= {arXiv preprint arXiv:1901.03461},
year = {2019}
}
Comments
This paper is presented at NIPS2018 2nd Conversational AI workshop