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Evgeniia Tokarchuk

Hi there. I am Evgeniia Tokarchuk. Currently, I am a PhD candidate at the Language Technology Lab, University of Amsterdam. I am honored to be supervised by Dr. Vlad Niculae. My research interests at the moment include (but not limited to) generative (language) modeling, machine translation, probabilistic modeling and geometry-aware approaches.

I got my master’s degree at RWTH Aachen University. There I’ve started my research path at the Human Language Technology and Pattern Recognition Group. My master thesis “Tight Model Integration for Pivot-based Neural Machine Translation” was a result of collaboration with the eBay Aachen. I was blessed to have great mentors and collaborators.

In my free time, I enjoy reading and traveling. I’m also involved in local volunteering initiative aiming to support Ukraine πŸ‡ΊπŸ‡¦

Feel free to contact & connect!

News

Recent Publications

The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation, 2023, arXiv preprint
Evgeniia Tokarchuk , Vlad Niculae
On Target Representation in Continuous-output Neural Machine Translation, 2022, RepL4NLP 2022
Evgeniia Tokarchuk , Vlad Niculae
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer, 2021, IWSLT 2021
Evgeniia Tokarchuk , Jan Rosendahl , Weiyue Wang , Pavel Petrushkov , Tomer Lancewicki , Shahram Khadivi , Hermann Ney
Investigation on Data Adaptation Techniques for Neural Named Entity Recognition, 2021, ACL SRW 2021
Evgeniia Tokarchuk , David Thulke , Weiyue Wang , Christian Dugast , Hermann Ney
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer, 2021, Reinforcement Learning for Real Life Workshop
Evgeniia Tokarchuk , Jan Rosendahl , Weiyue Wang , Pavel Petrushkov , Tomer Lancewicki , Shahram Khadivi , Hermann Ney