A Thorough Evaluation of Task-Specific Pretraining for Summarization (2021.emnlp-main)
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| Challenge: | Previous work has used task-agnostic pretraining methods like masked language models or corrupted span prediction to improve performance on downstream tasks. |
| Approach: | They propose to use a task-agnostic pretraining to improve on low-resource tasks. |
| Outcome: | The proposed model can predict extracted gap sentences on summarization with a low resource and zero shot setup. |
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