[ICLR2017]Deep Biaffine Attention for Neural Dependency Parsing
依存树解析任务目前有两种做法，一是Transition-based approach, 另一种就是graph-based方法；针对每种方法文中给出了将一句话解析成依存书的具体实现步骤，本文的方法是用的graph-based框架。 本文的框架图： graph-based方法： 从左向右解析句子，针对句中的每个词，找该词的head词（该词到head词之间的arc）以及从该词到head词之间的依存关系类
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相关文章
- 1. Deep Biaffine Attention for Neural Dependency Parsing
- 2. Graph-based Dependency Parsing with Graph Neural Networks
- 3. CS224n-06 Dependency Parsing
- 4. Attention-over-Attention Neural Networks for RC
- 5. Spatial Attention Network for Scene Parsing
- 6. Dependency Parsing
- 7. CS224n-Lecture5-Linguistic Structure Dependency Parsing
- 8. Attention-over-Attention Neural Networks for Reading Comprehension 讯飞
- 9. dependency parsing的两种解决方案
- 10. CS224n (Spring 2017) assignment 2-----2. Neural Transition-Based Dependency Parsing