MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization (2024.findings-acl)
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| Challenge: | Existing methods for generating content specific summarization assume a fixed set of known aspects. |
| Approach: | They propose a dynamic aspect-based summarization framework that optimizes aspect number prediction and minimizes disparity between generated and reference summaries. |
| Outcome: | The proposed method outperforms baselines on three diverse datasets on different aspects of the input text. |
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