mRAKL reformulates multilingual knowledge graph completion as question answering and shows that retrieving context from Wikipedia improves tail-entity prediction for Tigrinya and Amharic, with gains up to 8.79 points in an idealized retrieval setting.
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mRAKL: Multilingual Retrieval-Augmented Knowledge Graph Construction for Low-Resourced Languages
mRAKL reformulates multilingual knowledge graph completion as question answering and shows that retrieving context from Wikipedia improves tail-entity prediction for Tigrinya and Amharic, with gains up to 8.79 points in an idealized retrieval setting.