Dynamic Entity Representation with Max-pooling Improves Machine
本文是机器阅读理解系列的第六篇文章，paper的题目是Dynamic Entity Representation with Max-pooling Improves Machine Reading，作者是来自日本东北大学的老师Sosuke Kobayashi，文章发表在NAACL HLT 2016。本文的代码开源在Github。 本文模型之前的模型都是用一个静态的向量来表示一个entity，与上下
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相关文章
- 1. 【论文笔记08】Dynamic Entity Representation with Max-pooling Improves Machine Reading
- 2. ERNIE: Enhanced Language Representation with Informative Entities
- 3. 【论文笔记】Representation Learning of Knowledge Graphs with Entity Descriptions
- 4. 论文笔记：Representation Learning of Knowledge Graphs with Entity Descriptions
- 5. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Le
- 6. Machine Learning (3) Classification and Representation
- 7. Dynamic imports with webpack
- 8. Entity Framework with NOLOCK
- 9. Entity Framework With Oracle
- 10. 论文阅读：Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation