Dana Ruiter

Research Interests

• Self-Supervised Learning
• Low Resource Machine Translation
• Low Resource Text Classification

With a general enthusiasm for all kinds of low-resource settings, unsupervised approaches as well as multitask learning, representation learning and multilingual systems.

Publications

• Dana Ruiter, Cristina España-Bonet, Josef van Genabith. 2019.
  Self-Supervised Neural Machine Translation. InProceedings of the 57th Annual Meeting of the Association for
  Computational Linguistics, Volume 2: Short Papers, Florence, Italy. Association for Computational Linguistics.
• Cristina España-Bonet, Dana Ruiter, Josef van Genabith. 2019. UdS-DFKI Participation at WMT 2019: Low-Resource (en-gu) and Coreference-Aware (en-de) Systems. In Fourth Conference on Machine Translation, Florence, Italy.