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arXiv · 2002.00163

Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog

Zekang Li·Zongjia Li·Jinchao Zhang·Yang Feng·Cheng Niu·Jie Zhou
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Abstract

Audio-Visual Scene-Aware Dialog (AVSD) is a task to generate responses when chatting about a given video, which is organized as a track of the 8th Dialog System Technology Challenge (DSTC8). To solve the task, we propose a universal multimodal transformer and introduce the multi-task learning method to learn joint representations among different modalities as well as generate informative and fluent responses. Our method extends the natural language generation pre-trained model to multimodal dialogue generation task. Our system achieves the best performance in both objective and subjective evaluations in the challenge.

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Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou. 2020-02-01. Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. https://arxiv.org/abs/2002.00163

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