Jonathan Erskine

An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations

Human-Computer Interaction has been shown to lead to improvements in machine learning systems by boosting model performance, accelerating learning and building user confidence. In this work, we aim to alleviate the expectation that human annotators adapt to the constraints imposed by traditional lab…