March 28, 2024, 4:48 a.m. | Kaidi Jia, Rongsheng Li

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.18253v1 Announce Type: new
Abstract: Metaphors are ubiquitous in daily life, yet detecting them poses a significant challenge. Previous approaches often struggled with improper application of language rules and overlooked the issue of data sparsity. To address these challenges, we introduce knowledge distillation and prompt learning into metaphor detection. Specifically, we devise a prompt learning template tailored for the metaphor detection task. By masking target words and providing relevant prompt information, we guide the model to accurately infer the contextual …

abstract application arxiv challenge challenges cs.cl daily data detection distillation issue knowledge language life prompt prompt learning rules sparsity them type via

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