A pairwise knowledge selector and a marginalization-based integration strategy let a language model generate drug-drug interaction event descriptions that outperform MolTC and MolT5 on BLEU, ROUGE, and METEOR across two datasets.
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PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation
A pairwise knowledge selector and a marginalization-based integration strategy let a language model generate drug-drug interaction event descriptions that outperform MolTC and MolT5 on BLEU, ROUGE, and METEOR across two datasets.