Knowledge Fusion via Embeddings from Text, Knowledge Graphs, and Images

Thoma, Steffen, Rettinger, Achim, Both, Fabian Machine Learning 

We present a baseline approach for cross-modal knowledge fusion. Different basic fusion methods are evaluated on existing embedding approaches to show the potential of joining knowledge about certain concepts across modalities in a fused concept representation.

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