Antoine D. Lain

The paper introduces RECoDe, a relation extraction dataset for diet, disease, and biomarker associations, and benchmarks NLP models on it, achieving high classification performance.

The paper develops deep learning models for microbial named entity recognition and normalization to accelerate literature review and meta-analysis of microbiome studies.

cadmus retrieves and processes full-text biomedical literature, achieving high retrieval rates and demonstrating improved coverage of biomedical concepts compared to abstracts.

The paper introduces five biomedical corpora for multi-entity recognition in metabolic syndrome research, including human-annotated and machine-annotated datasets with diverse entity categories.