Santosh Tirunagari

The paper introduces a framework for extracting biological evidence from literature to aid drug discovery, identifying millions of associations between targets, diseases, and drugs.

The paper presents a human-in-the-loop system for identifying residue-level functional annotations from literature, achieving high precision, recall, and F1-measure.

The paper introduces a human-annotated full-text corpus for biomedical entities, including genes, proteins, diseases, and organisms, to support deep learning approaches in NLP.