Using automated feature optimisation to create an Adaptable relation extraction system

Abstract

An adaptable relation extraction system for the biomedical domain is presented. The system makes use of a large set of contextual and shallow syntactic features, which can be automatically optimised for each relation type. The system is tested on three different relation types; protein-protein interactions, tissue expression relations and fragment to parent protein relations.