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- W3205217208 abstract "Poetry is a kind of literary art, which conveys emotion with aesthetic expressions. Poetry automatic generation is challenging because it is required to confirm the semantic representation (content) and metrical constraints (form). Most previous work lacks the effective use of metrical information, resulting in the generated poems may break these constraints, which are essential for poetry. In this paper, we formulate the poetry generation task as a constrained text generation problem. A Transformer-based dual-encoder model is then proposed to force the poetry generation conditioned on both the writing intention and the metrical patterns. We conduct experiments on three popular genres of Chinese classical poetry: quatrains ( Open image in new window ), regulated verse ( Open image in new window ) and Song iambic ( Open image in new window ). Both automatic and human evaluation results confirm that our method (poetry generation with metrical constraints, MCPG) significantly improves metrical compliance of generated poems while maintaining coherence and fluency." @default.
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- W3205217208 date "2021-01-01" @default.
- W3205217208 modified "2023-09-27" @default.
- W3205217208 title "Chinese Poetry Generation with Metrical Constraints" @default.
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- W3205217208 doi "https://doi.org/10.1007/978-3-030-88480-2_30" @default.
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