Active Expert Learning for the Digital Humanities

Current platforms for paper sharing among scholars, such as Research Gate, could support Active Expert Learning, whereby the paper being uploaded is processed using human language technology techniques, and feedback is asked of the scholar doing the upload using active learning techniques to minimize the amount of feedback requested. We show that this approach could outperform traditional active learning as well as randomly asking for feedback.