Papers with abstractive and extractive baselines
Unsupervised Opinion Summarization with Noising and Denoising (2020.acl-main)
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| Challenge: | Existing methods for abstractive summarization are limited and cannot be easily sourced. |
| Approach: | They propose a supervised learning model which learns to denoise the input and generate original reviews. |
| Outcome: | The proposed model improves on the baselines of abstractive and extractive models on a large dataset with only a few reviews and no ground truth summaries. |