Papers with cross-modal entity representation learning

1 papers
Entity-level Cross-modal Learning Improves Multi-modal Machine Translation (2021.findings-emnlp)

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Challenge: Multi-modal machine translation aims at improving translation performance by incorporating visual information.
Approach: They propose an explicit entity-level cross-modal learning approach that aims to augment the entity representation by combining a translation task and a reconstruction task.
Outcome: The proposed approach achieves comparable or even better performance than state-of-the-art models.

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