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OpenMEL: Unsupervised Multimodal Entity Linking Using Noise-Free Expanded Queries and Global Coherence

Summary: OpenMEL performs unsupervised multimodal entity linking by enriching sparse text and adaptively selecting multi-level visual inputs to suppress noise. A bounded-node maximum-spanning-tree cover captures global KB entity coherence, optimized greedily with theoretical guarantees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14080
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,872 | 25.41%
DOI
10.14778/3742728.3742740

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BibTeX Citation

@article{zhu_vldb25,
        title = {{OpenMEL: Unsupervised Multimodal Entity Linking Using Noise-Free Expanded Queries and Global Coherence}},
        author = {Zhu, Xinyi and Zhang, Yongqi and Chen, Lei},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {8},
        pages = {2454--2467},
        doi = {10.14778/3742728.3742740},
        url = {https://doi.org/10.14778/3742728.3742740},
        year = {2025}
}

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