Comparative Opinion Summarization via Collaborative Decoding (2022.findings-acl)
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| Challenge: | Existing opinion summarization methods are insufficient to help users compare multiple choices. |
| Approach: | They propose a comparative opinion summarization task that generates two contrastive summaries and one common summary from two different candidate sets of reviews. |
| Outcome: | The proposed framework produces higher-quality contrastive and common summaries than state-of-the-art models. |
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