CLJan 11, 2019

Dialog System Technology Challenge 7

arXiv:1901.03461v138 citations
AI Analysis

This work addresses the challenge of developing advanced dialog systems for researchers and practitioners, but it is incremental as it builds on previous DSTC editions.

The paper introduced the Seventh Dialog System Technology Challenge (DSTC7), which tackled the problem of building end-to-end dialog systems through shared datasets, focusing on sentence selection, sentence generation, and audio-visual scene aware dialog, with participants achieving impressive results using state-of-the-art technologies.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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