HITsz-TMG/GEMEL
Official implementation of our LREC-COLING 2024 paper "Generative Multimodal Entity Linking".
This project helps identify and link entities mentioned in text and images (like a person's name or a product) to their correct entries in a knowledge base. You input text and corresponding images, and it outputs the precise name of the entity. Anyone working with content that combines text and visuals, such as researchers, data scientists, or content managers, would find this useful.
No commits in the last 6 months.
Use this if you need to accurately identify and link entities from documents or web pages that contain both text and images to a structured knowledge base, especially for less common entities.
Not ideal if your primary need is for purely text-based entity linking or if you require a solution that doesn't involve large language models.
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36
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4
Language
Python
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Last pushed
Feb 27, 2025
Commits (30d)
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