WMT17 Shared Task on Bandit Learning for Machine Translation organized by Statistical NLP group and Amazon Development Center, Berlin

Amazon and University of Heidelberg organize a Shared Task on Bandit Learning for Machine Translation with the goal to encourage researchers to investigate algorithms for learning from weak user feedback instead of from human references or post-edits that require skilled translators.

We are interested in finding systems that learn efficiently and effectively from this type of feedback, i.e. they learn fast and achieve high translation quality. Developing such algorithms is interesting for interactive machine learning and for human feedback in NLP in general. See the WMT17 page for more information.