Dialog System Technology Challenge 7

Dialog System Technology Challenge 7
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对话系统技术挑战赛7

DOI：
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发表时间：
2019
期刊：
arXiv.org
影响因子：
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通讯作者：
Dhruv Batra
Dhruv Batra
中科院分区：
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文献类型：
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作者：
Koichiro Yoshino;Chiori Hori;Julien Perez;L. F. D’Haro;L. Polymenakos;R. Chulaka Gunasekara;Walter S. Lasecki;Jonathan K. Kummerfeld;Michel Galley;Chris Brockett;Jianfeng Gao;W. Dolan;Xiang Gao;Huda AlAmri;Tim K. Marks;Devi Parikh;Dhruv Batra

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本文介绍了第七对话系统技术挑战（DSTC），它使用共享数据集来探索构建对话系统的问题。最近，端到端对话建模方法已被应用于各种对话任务。第七个DSTC（DSTC 7）专注于开发与端到端对话系统相关的技术，用于（1）句子选择，（2）句子生成和（3）视听场景感知对话。本文总结了DSTC 7的总体设置和结果，包括对不同轨道和提供的数据集的详细描述。我们还描述了提交的系统和关键结果的总体趋势。每个轨道都引入了新的数据集，参与者使用最先进的端到端技术取得了令人印象深刻的结果。
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.