The document describes a method to automatically extract entity relation pairs like (gene, disease) from unstructured text. It uses a medical ontology and patterns to identify relations in abstracts, achieving a 3.3% error rate. The approach provides patterns of entity occurrences and is more efficient than traditional ontology-based relation extraction.

1. Jamsandekar Mugdha Prabhu Priyanka Sugandh Neha Extraction of Relations from Unstructured Text

5. 30 Relations Obtained – 4% of abstracts