Headline Token-based Discriminative Learning for Subheading Generation in News Article (2023.findings-eacl)
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| Challenge: | Existing models that generate news subheadings rely on topical headline information to capture topical knowledge from the article. |
| Approach: | They propose a model that uses topical headline information to generate news subheadings using masked headline tokens. |
| Outcome: | The proposed model outperforms the comparative models on three news datasets written in two languages and performs robustly on a small dataset and various masking ratios. |
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