Papers with bi-directional language model
Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations (N18-2)
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| Challenge: | Neural network-based models for NLP have been growing with state-of-the-art results in various tasks. |
| Approach: | They propose a data augmentation method for labeled sentences called contextual augmentation. |
| Outcome: | The proposed method improves classifiers based on convolutional or recurrent neural networks. |