Papers with multimodal conversational question answering
MMCoQA: Conversational Question Answering over Text, Tables, and Images (2022.acl-long)
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| Challenge: | Existing conversational QA systems only use a single knowledge source, e.g., paragraphs or knowledge graph, and assume it contains enough evidence to extract answers to users' questions. |
| Approach: | They propose a task to answer users' questions with multimodal knowledge sources via multi-turn conversations using a multimodal dataset. |
| Outcome: | The proposed task brings a series of research challenges, including but not limited to priority, consistency, and complementarity of multimodal knowledge. |