Papers by Seungwook Lee
Query Generation for Multimodal Documents (2021.eacl-main)
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| Challenge: | Existing approaches to find relevance for multimodal documents with images are expensive and require a lot of runtime overhead. |
| Approach: | They propose to attach generated queries to doc-uments and index them to narrow down to candidate matches using inverted index. |
| Outcome: | The proposed model improves relevance ranking for multimodal documents with images . the proposed model can achieve the state of the art in the first stage retrieval scenarios . |