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Found 2 papers, 1 papers with code
Sectioning of Biomedical Abstracts: A Sequence of Sequence Classification Task
In this project, we study a state-of-the-art deep learning model, which we called SSN-4 model here.
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.
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