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Multimodal Attribute Value Extraction
3 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Multimodal Attribute Value Extraction aims at extracting attribute values based on a given set of attributes from multi-modal input such as text plus images. Multimodal Attribute value extraction is for example applied in the context of e-commerce where product attribute values are extracted from product offers.
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3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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15 Sep 2020 2 repositories listedWe annotate a multimodal product attribute value dataset that contains 87, 194 instances, and the experimental results on this dataset demonstrate that explicitly modeling the relationship between attributes and values…
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24 Apr 2024 1 repository listedTo address these limitations, we present ImplicitAVE, the first, publicly available multimodal dataset for implicit attribute value extraction.
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29 Nov 2017 1 repository listedThe broad goal of information extraction is to derive structured information from unstructured data.
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