Deep Biaffine Attention for Neural Dependency Parsing

时间 2021-01-13

标签 NLP 繁體版

原文原文链接

原文https://www.hankcs.com/nlp/parsing/deep-biaffine-attention-for-neural-dependency-parsing.html 这是斯坦福专攻Dependency Parsing的博士生Dozat在ICLR 2017上的论文，拿到了graph-based方法中的最高分，改进版还拿到了CoNLL 2017 Shared Task的第一。

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1. [ICLR2017]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. Deep Learning for NLP Best Practices
10. 【论文阅读笔记】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
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1. [ICLR2017]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. Deep Learning for NLP Best Practices
10. 【论文阅读笔记】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

>>更多相关文章<<