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
- 2. embedding entities and relations for learning and inference knowledge base
- 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
- 5. 2019_NAACL_A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Persona
- 6. 【閱讀筆記】Reasoning With Neural Tensor Networks for Knowledge Base Completion
- 7. End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion--閱讀筆記
- 8. MUREL: Multimodal Relational Reasoning for Visual Question Answering筆記
- 9. R for Data Science之——Relational data
- 10. Open Relation Extraction- Relational Knowledge Transfer from Supervised Data to Unsupervised Data