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Fine-tuning BERT models to extract transcriptional regulatory interactions of bacteria from biomedical literature

2024-02-22

Abstract excerpt

<h4> Abstract </h4> Curation of biomedical literature has been the traditional approach to extract relevant biological knowledge; however, this is time-consuming and demanding. Recently, Large language models (LLMs) based on pre-trained transformers have addressed biomedical relation extraction tasks outperforming classical machine learning approaches. Nevertheless, LLMs have not been used for the extraction of...

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Literature Corpus work
b1fae9e1-0db1-5835-b60d-f1b587b40be2
DOI
10.1101/2024.02.19.581094
Open publication

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Fine-tuning BERT models to extract transcriptional regulatory interactions of bacteria from biomedical literatureDOI 10.1101/2024.02.19.581094
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