【论文精读】The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling
这篇文章是浙江大学2020年9月15号推到Arxiv上的。 文章的初始出发点应该是来自，关系抽取数据集由于数据存在长尾特征，因此直接从数据中学习语义，必定是不均衡的【样本多的语义容易过拟合某个类别中的头部样本，样本少的语义容易过拟合某个类别中的单个样本】。 因此采用引入外部预训练的词向量来进行语义embedding就说得通。 同时又知道，我们有三种采样的方式，来进行长尾数据集的再平衡，即将长尾数据
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相关文章
- 1. The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
- 2. [zz]The Synchronizes-With Relation
- 3. The Devil Wears Prada-16
- 4. 关于“长尾理论”（The Long Tail）
- 5. The Happens-Before Relation | The Synchronizes-With Relation
- 6. 【论文精读】TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
- 7. The Devil is in the Details: Nuances of Light Mapping
- 8. Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax(CVPR20)
- 9. ColorNet: Investigating the importance of color spaces for image classification
- 10. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification 论文研读