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PGA-SciRE: Harnessing LLM on Data Augmentation for Enhancing Scientific Relation Extraction
The framework introduces two ways of data augmentation, utilizing a LLM to obtain pseudo-samples with the same sentence meaning but with different representations and forms by paraphrasing the original training set samples.
A graph kernel based on context vectors for extracting drug–drug interactions
Especially for the Medline-2013 dataset, our system outperforms the top-ranking DDIs systems by F-scores of 10. 7 and 12. 2 in detection and classification, respectively.
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