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An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation

AAAI 2020 · Image generation › Autoregressive and latent generation · approach: Controllable music generation · 22 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Polish AS2S poems with QA-MLMAS2S · Chinese quatrain testMeaningfulness: 2.35 -> 2.59Helped
Polish CVAE-D poems with QA-MLMCVAE-D · Chinese quatrain testMeaningfulness: 2.55 -> 2.74Helped
Polish B&T poems with QA-MLMB&T · Chinese quatrain testMeaningfulness: 3.06 -> 3.24Helped
Polish AS2S poems with QA-MLMAS2S · Chinese quatrain testBLEU-1: 0.032 -> 0.042Helped
Polish CVAE-D poems with QA-MLMCVAE-D · Chinese quatrain testBLEU-1: 0.039 -> 0.039No clear effect
Polish B&T poems with QA-MLMB&T · Chinese quatrain testBLEU-1: 0.050 -> 0.049Hurt
Polish B&T poems with QA-MLMB&T · Chinese quatrain testTone accuracy: 0.976 -> 0.962Hurt
Polish B&T poems with QA-MLMB&T · Chinese quatrain testRhythm accuracy: 0.956 -> 0.841Hurt
Polish poems with QA-MLMAS2S, CVAE-D, and B&T · Chinese quatrain testSimilarityHelped
Use global left-and-right context to replace low-quality characters rather than sequential decoding aloneEncoder-decoder poem drafts · Chinese poetry generationHuman-rated poem qualityHelped

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