Papers with multimodal dialog systems

2 papers
UniTranSeR: A Unified Transformer Semantic Representation Framework for Multimodal Task-Oriented Dialog System (2022.acl-long)

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Challenge: Existing studies on multimodal task-oriented dialog systems follow the pipeline to learn intra-modal features separately and then conduct simple feature concatenation or attention-based feature fusion to generate responses.
Approach: They propose a Unified Transformer Semantic Representation framework with feature alignment and intention reasoning for multimodal dialog systems that embed multimodal features into a unified Transformer semantic space to prompt inter-modal interactions.
Outcome: The proposed framework significantly outperforms state-of-the-art approaches on the representative MMD dataset.
Construction and Analysis of a Multimodal Chat-talk Corpus for Dialog Systems Considering Interpersonal Closeness (2020.lrec-1)

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Challenge: a large-scale multimodal dialog corpus is needed to accelerate research on dialog systems that can handle social signals and verbal information.
Approach: They construct a multimodal dialog corpus focusing on the relationship between speakers and 19 pairs of participants.
Outcome: The proposed system is based on a multimodal dialog corpus of 19,303 utterances (10 hours) from 19 pairs of participants.

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