论文：A Language-Independent Neural Network for Event Detection
A Language-Independent Neural Network for Event Detection Xiaocheng Feng（2016） 方法：利用双向LSTM获取每个词的上下文信息，再经过一个CNN（采用两种滤波器）获取每个块的信息，最后经过softmax确定触发词和事件类型。 图2中的W为每个词，WE为每个词的embedding，PF为每个词的position embedd
相关文章
- 1. 《A Convolutional Neural Network Cascade for Face Detection》
- 2. Event Detection with Trigger-Aware Lattice Neural Network（论文解读）
- 3. 论文阅读 # Event Detection with Trigger-Aware Lattice Neural Network
- 4. 【论文解读 EMNLP 2019 | TLNN】Event Detection with Trigger-Aware Lattice Neural Network
- 5. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 6. MSCNN论文解读-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 7. [论文解读] MSCNN: A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 8. Single-Shot Refinement Neural Network for Object Detection (RefineDet) 论文笔记
- 9. Single-Shot Refinement Neural Network for Object Detection 论文笔记
- 10. 笔记：论文阅读Single-Shot Refifinement Neural Network for Object Detection
- 更多相关文章...
- • C# 事件（Event） - C#教程
- • Scala for循环 - Scala教程
- • Scala 中文乱码解决
- • Docker容器实战(七) - 容器眼光下的文件系统
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. 《A Convolutional Neural Network Cascade for Face Detection》
- 2. Event Detection with Trigger-Aware Lattice Neural Network（论文解读）
- 3. 论文阅读 # Event Detection with Trigger-Aware Lattice Neural Network
- 4. 【论文解读 EMNLP 2019 | TLNN】Event Detection with Trigger-Aware Lattice Neural Network
- 5. 论文阅读《Edge Detection Using Convolutional Neural Network》
- 6. MSCNN论文解读-A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 7. [论文解读] MSCNN: A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
- 8. Single-Shot Refinement Neural Network for Object Detection (RefineDet) 论文笔记
- 9. Single-Shot Refinement Neural Network for Object Detection 论文笔记
- 10. 笔记：论文阅读Single-Shot Refifinement Neural Network for Object Detection