Papers by Lu Shijia
FL-MSCL: A Unified Figurative Language Detection Model Driven by Multi-Type Signals and Contrastive Learning (2026.acl-short)
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| Challenge: | Figurative language recognition challenges distinguishing between fine-grained rhetorical categories . existing approaches are framed as single-category binary classifiers . |
| Approach: | They propose a framework that integrates prompt-based knowledge injection with supervised contrastive learning to enforce explicit class distinctions. |
| Outcome: | The proposed framework achieves competitive performance on a four-way sentence-level classification task. |