Dialogue Systems in a Low-resource Scenario PhD. Thesis Proposal

This work proposes to invent new learning methods for dialogue systems which would lead to quality improvement and widen dialogue systems use cases, and focuses on exploiting weekly annotated data using methods such as transfer learning or meta-learning (learning from similar tasks).