Papers with WikiDiverse

2 papers
WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types (2022.acl-long)

Copied to clipboard

Challenge: Multimodal Entity Linking (MEL) is an essential task for many multimodal applications.
Approach: They propose to use a human-annotated Wikipedia-based multimodal entity linking dataset to improve the quality of existing MEL models.
Outcome: The proposed model uses the visual information of images more effectively than existing models.
Generative Multimodal Entity Linking (2024.lrec-main)

Copied to clipboard

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.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations