Papers with undersampling method
CAUnLP at NLP4IF 2019 Shared Task: Context-Dependent BERT for Sentence-Level Propaganda Detection (D19-50)
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| Challenge: | Sentence-level and fragment-level propaganda detection tasks are more challenging compared to document-level detection. |
| Approach: | They propose to use context-dependent input pairs to fine-tune the pretrained propaganda detection BERT to better utilize document information. |
| Outcome: | The proposed system can detect propaganda on document-level, sentence-level and fragment-level. |
Undersampling Improves Hypernymy Prototypicality Learning (L18-1)
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| Challenge: | supervised hypernymy detection suffers from overfitting hypernies in training data. |
| Approach: | They propose a method that can alleviate the problem of overfitting hypernyms in training data by using distributional representations for unknown word pairs. |
| Outcome: | The proposed method alleviates the problem of overfitting hypernyms in training data and improves distributional prototypicality learning for unknown word pairs. |