MetFuse: Figurative Fusion between Metonymy and Metaphor
Metonymy and metaphor often co-occur in natural language, yet computational work has studied them largely in isolation. We introduce a framework that transforms a literal sentence into three figurative variants: metonymic, metaphoric, and hybrid. Using this framework, we construct MetFuse, the first dedicated dataset of figurative fusion between metonymy and metaphor, containing 1,000 human-verified meaning-aligned quadruplets totaling 4,000 sentences. Extrinsic experiments on eight existing benchmarks show that augmenting training data with MetFuse consistently improves both metonymy and metaphor classification, with hybrid examples yielding the largest gains on metonymy tasks. Using thi...
| Authors | Saptarshi Ghosh, Tianyu Jiang |
|---|---|
| Primary category | cs.CL |
| Published | 14 April 2026 |
| Last updated at source | 20 April 2026 |
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