CPTuning adds contrastive learning and label smoothing to generative relation extraction, letting a T5 model extract zero, one, or multiple relations per entity pair with Trie-constrained decoding.
In: Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021
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CPTuning: Contrastive Prompt Tuning for Generative Relation Extraction
CPTuning adds contrastive learning and label smoothing to generative relation extraction, letting a T5 model extract zero, one, or multiple relations per entity pair with Trie-constrained decoding.