当GNN遇见NLP(六)：Text Level Graph Neural Network for Text Classification，EMNLP2019
我是目录 Method Building Text Graph Message Passing Mechanism Experiments Datasets & Baselines Experimental Results Ablation Study Conclusion 本文作者来自北大。 以往基于GNN的方法主要面临的实际问题是固定语料库级图结构，不支持在线测试，内存消耗大。因此本文提出一种
相关文章
- 1. 当GCN遇见NLP(二) Heterogeneous GAN for Semi-supervised Short Text Classification，EMNLP2019
- 2. GNN在文本分类上的应用 | (2) Text Level Graph Neural Network for Text Classification
- 3. 论文阅读总结(Text Level Graph Neural Network for Text Classification)
- 4. 当GCN遇见NLP(三) Tensor Graph Convolutional Networks for Text Classification，arXiv2020
- 5. 当GNN遇见NLP(五) Sentence-State LSTM for Text Representation，ACL2018
- 6. Recurrent Convolutional Neural Networks for Text Classification
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. A C-LSTM Neural Network for Text Classification
- 9. 《Character-level Convolutional Networks for Text Classification》
- 10. Graph Convolutional Networks for Text Classification
- 更多相关文章...
- • SVG
- SVG 教程 - • ASP.NET Text 属性 - ASP.NET 教程
- • RxJava操作符（六）Utility
- • Docker容器实战(六) - 容器的隔离与限制
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. 当GCN遇见NLP(二) Heterogeneous GAN for Semi-supervised Short Text Classification，EMNLP2019
- 2. GNN在文本分类上的应用 | (2) Text Level Graph Neural Network for Text Classification
- 3. 论文阅读总结(Text Level Graph Neural Network for Text Classification)
- 4. 当GCN遇见NLP(三) Tensor Graph Convolutional Networks for Text Classification，arXiv2020
- 5. 当GNN遇见NLP(五) Sentence-State LSTM for Text Representation，ACL2018
- 6. Recurrent Convolutional Neural Networks for Text Classification
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
- 8. A C-LSTM Neural Network for Text Classification
- 9. 《Character-level Convolutional Networks for Text Classification》
- 10. Graph Convolutional Networks for Text Classification