Designing an active learning based system for corpus annotation

In this paper we review some Active Learning experimental results in order to set up the basis for designing an active learning based system for corpus annotation. Based on the experimental data we design a modular system that allows for initially learning fast, but that it is capable of switching to a slower and more precise learning strategy. The system is designed to perform a semantic role labelling task.