Multimodal Entity Linking with Mixed Fusion Mechanism

Author:

Zhang GongruiORCID,Jiang ChenghuanORCID,Guan ZhonghengORCID,Wang PengORCID

Publisher

Springer Nature Switzerland

Reference35 articles.

1. Adjali, O., Besançon, R., Ferret, O., et al.: Multimodal entity linking for tweets. In: ECIR (2020)

2. Blanco, R., Ottaviano, G., Meij, E.: Fast and space-efficient entity linking for queries. In: WSDM (2015)

3. Bunescu, R., Pasca, M.: Using encyclopedic knowledge for named entity disambiguation. In: EACL (2006)

4. Chen, T., Kornblith, S., Norouzi, M., et al.: A simple framework for contrastive learning of visual representations. In: ICML (2020)

5. Cho, K., van Merriënboer, B., Gulcehre, C., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: EMNLP (2014)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Video Multimodal Entity Linking via Multi-Perspective Enhanced Subgraph Contrastive Network;International Journal of Software Engineering and Knowledge Engineering;2024-08-30

2. TRAFMEL: Multimodal Entity Linking Based on Transformer Reranking and Multimodal Co-Attention Fusion;International Journal of Software Engineering and Knowledge Engineering;2024-05-16

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