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
相关文章
- 1. Compositional Vector Space Models for Knowledge Base Completion
- 2. embedding entities and relations for learning and inference knowledge base
- 3. 论文阅读|NeurIPS 2013：（TransE）Embedding Embedding for Modeling Multi-relational Data
- 4. 《Knowledge Base Completion By Learning...》阅读笔记
- 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
- 9. R for Data Science之——Relational data
- 10. Open Relation Extraction- Relational Knowledge Transfer from Supervised Data to Unsupervised Data
- 更多相关文章...
- • BASE原理与最终一致性 - NoSQL教程
- • Swift for 循环 - Swift 教程
- • Docker 清理命令
- • Java Agent入门实战（三）-JVM Attach原理与使用
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Compositional Vector Space Models for Knowledge Base Completion
- 2. embedding entities and relations for learning and inference knowledge base
- 3. 论文阅读|NeurIPS 2013：（TransE）Embedding Embedding for Modeling Multi-relational Data
- 4. 《Knowledge Base Completion By Learning...》阅读笔记
- 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
- 9. R for Data Science之——Relational data
- 10. Open Relation Extraction- Relational Knowledge Transfer from Supervised Data to Unsupervised Data