OpenMEL: Unsupervised Multimodal Entity Linking Using Noise-Free Expanded Queries and Global Coherence
Summary: OpenMEL: unsupervised MEL that expands noisy multimodal mentions with full-context and external knowledge plus three-level visual inputs for adaptive denoising. Ranks entities by a bounded-node maximum spanning-tree (tree cover) solved by a greedy algorithm with provable guarantees, yielding SOTA on three benchmarks. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Xinyi Zhu
- 2. Yongqi Zhang
- 3. Lei Chen
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,734 | Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web | 2007 | CIDR | 0.00010723542 |
| 1,878 | Query-Driven On-The-Fly Knowledge Base Construction | 2018 | VLDB | 0.00010233436 |
| 3,915 | A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs | 2020 | VLDB | 6.6332294e-05 |
| 4,474 | Measure-driven Keyword-Query Expansion | 2009 | VLDB | 6.1528736e-05 |
| 5,041 | KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking | 2020 | VLDB | 5.741618e-05 |
| 7,970 | Experiments on Query Expansion for Internet Yellow Page Services Using Web Log Mining | 2002 | VLDB | 4.613363e-05 |
| 11,475 | TENET: Joint Entity and Relation Linking with Coherence Relaxation | 2021 | SIGMOD | 4.1945683e-05 |
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