2 papers with code • 1 benchmarks • 1 datasets
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CU-UD: text-mining drug and chemical-protein interactions with ensembles of BERT-based models
Our system obtained 0. 7708 in precision and 0. 7770 in recall, for an F1 score of 0. 7739, demonstrating the effectiveness of using ensembles of BERT-based language models for automatically detecting relations between chemicals and proteins.
Does constituency analysis enhance domain-specific pre-trained BERT models for relation extraction?
Recently many studies have been conducted on the topic of relation extraction.