Linear Semantic Segmentation for Low-Resource Spoken Dialects (2026.findings-acl)
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| Challenge: | Existing models for semantic segmentation are primarily developed and evaluated on high-resource written text, limiting their effectiveness on low-resourced conversational varieties. |
| Approach: | They propose a multi-genre benchmark for semantic segmentation in Arabic, focusing on dialectal discourse. |
| Outcome: | The proposed model outperforms baselines on dialectal non-news genres while performing well on high-resource written text. |
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