Marek Rei

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

This paper introduces a deep learning model, Enformer Celltyping, that predicts cell type-agnostic epigenomic profiles and outperforms existing methods, while highlighting limitations in genetic variant effect predictions.