Conference Proceedings

UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems

Shiquan Yang, Rui Zhang, Sarah M Erfani, Jey Han Lau

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence | International Joint Conferences on Artificial Intelligence Organization | Published : 2021

Abstract

Knowledge bases (KBs) are usually essential for building practical dialogue systems. Recently we have seen rapidly growing interest in integrating knowledge bases into dialogue systems. However, existing approaches mostly deal with knowledge bases of a single modality, typically textual information. As today's knowledge bases become abundant with multimodal information such as images, audios and videos, the limitation of existing approaches greatly hinders the development of dialogue systems. In this paper, we focus on task-oriented dialogue systems and address this limitation by proposing a novel model that integrates external multimodal KB reasoning with pre-trained language models. We fur..

View full abstract