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 现有知识库(Knowledge Bases)的表示方法未考虑到多种常用数据类型（见图1），如文本、图像和数字等，本文基于encoder提出了多模知识库embeddings方
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相关文章
- 1. Compositional Vector Space Models for Knowledge Base Completion
- 2. embedding entities and relations for learning and inference knowledge base
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- 5. 2019_NAACL_A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Persona
- 6. 【阅读笔记】Reasoning With Neural Tensor Networks for Knowledge Base Completion
- 7. End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion--阅读笔记
- 8. MUREL: Multimodal Relational Reasoning for Visual Question Answering笔记
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