Embedding Multimodal Relational Data for Knowledge Base Completion理解
Pouya Pezeshkpour et al. , Proceddings of the 2018 Conference on Empirical Methods in Natural Language Processing 現有知識庫(Knowledge Bases)的表示方法未考慮到多種常用數據類型（見圖1），如文本、圖像和數字等，本文基於encoder提出了多模知識庫embeddings方
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相關文章
- 1. Compositional Vector Space Models for Knowledge Base Completion
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- 3. 論文閱讀|NeurIPS 2013：（TransE）Embedding Embedding for Modeling Multi-relational Data
- 4. 《Knowledge Base Completion By Learning...》閱讀筆記
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- 6. 【閱讀筆記】Reasoning With Neural Tensor Networks for Knowledge Base Completion
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