Papers by Seungwook Lee

1 papers
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 .

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