Image-embodied Knowledge Representation Learning

  title={Image-embodied Knowledge Representation Learning},
  author={Ruobing Xie and Zhiyuan Liu and Tat-Seng Chua and Huan-Bo Luan and Maosong Sun},
Entity images could provide significant visual information for knowledge representation learning. Most conventional methods learn knowledge representations merely from structured triples, ignoring rich visual information extracted from entity images. In this paper, we propose a novel Imageembodied Knowledge Representation Learning model (IKRL), where knowledge representations are learned with both triple facts and images. More specifically, we first construct representations for all images of… CONTINUE READING
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