MUDY improves unsupervised keyphrase extraction by combining prompt-based scoring with candidate-aware weighting and self-attention-based multi-granular scoring to capture both local and global contextual salience, outperforming baselines on four datasets.
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MUDY: Multi-Granular Dynamic Candidate Contextualization for Unsupervised Keyphrase Extraction
MUDY improves unsupervised keyphrase extraction by combining prompt-based scoring with candidate-aware weighting and self-attention-based multi-granular scoring to capture both local and global contextual salience, outperforming baselines on four datasets.