The ACTIVECROWDTOOLKIT: An Open-Source Tool for Benchmarking Active Learning Algorithms for Crowdsourcing Research

Abstract

We present an open-source toolkit that allows the easy comparison of the performance of active learning methods over a series of datasets. The toolkit allows such strategies to be constructed by combining a judgement aggregation model, task selection method and worker selection method. The toolkit also provides a user interface which allows researchers to gain insight into worker performance and task classification at runtime.