Papers with MEL task

2 papers
Building a Multimodal Entity Linking Dataset From Tweets (2020.lrec-1)

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Challenge: Entity linking is a task that aims at associating an entity mention with a unique entity in a knowledge base.
Approach: They propose a method to quasi-automatically build annotated datasets to evaluate methods on the Entity Linking task.
Outcome: The proposed method builds annotated datasets of tweets with ambiguous mentions and a Twitter KB defining the entities.
Generative Multimodal Entity Linking (2024.lrec-main)

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Challenge: Existing Entity Linking methods focus on designing complex multimodal interaction mechanisms and require fine-tuning all model parameters.
Approach: They propose a framework for multimodal entity linking based on Large Language Models (LLMs) that trains a feature mapper to enable cross-modal interactions.
Outcome: The proposed framework achieves state-of-the-art on two well-established datasets with a performance gain of 7.7% on WikiDiverse and 8.8% on Wikileaks.

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