Carlos-Francisco Méndez-Cruz

The paper fine-tunes BERT models to extract transcriptional regulatory interactions from bacterial literature, achieving high performance and reconstructing a significant portion of a bacterial transcriptional regulatory network.

Lisen&Curate is a system that aids manual curation of bacterial transcription initiation regulation by integrating text mining and sentence similarity metrics to accelerate literature review and knowledge extraction.

GeDex extracts consensus gene-disease associations from biomedical literature using frequency patterns and supervised learning, achieving competitive performance compared to existing methods.