Jannis Vamvas

Jannis Vamvas, M.Sc.

PhD Student

Raumbezeichnung: AND 2.42

vamvas@cl.uzh.ch

I am a PhD candidate in Natural Language Processing supervised by Rico Sennrich and Martin Volk.

My research focuses on the application of machine learning to natural language processing. I am interested in systems that use data in multiple languages, and in how their quality can be evaluated.

The position is funded by the Swiss National Science Foundation.

Short CV

  • 2019−2023: PhD student at the Department of Computational Linguistics
  • Summer 2022: Applied Science Internship with Amazon AI Translate, Berlin
  • 2018−2019: Research internship at Munich Re (NLP for Reinsurance Development)
  • 2018−2019: Graduate teaching assistant for Prof. Dr. Hinrich Schütze, CIS Munich
  • 2017−2019: M.Sc. in Computational Linguistics (major) and Computer Science (minor) at LMU Munich
  • 2015−2017: Full-Stack Web Developer at Arteria GmbH, Basel
  • 2011−2015: B.A. in Computer Science and Philosophy from the University of Basel

Publications

Jannis Vamvas and Rico Sennrich. 2022. NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures . arXiv preprint arXiv:2204.13692 [bib] [code] [blog]

Jannis Vamvas and Rico Sennrich. 2022. As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 490–500, Dublin, Ireland. Association for Computational Linguistics. [bib] [code]

Jannis Vamvas and Rico Sennrich. 2021. On the Limits of Minimal Pairs in Contrastive Evaluation. In Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 58–68, Punta Cana, Dominican Republic. Association for Computational Linguistics. [bib] [code] [blog] ★ best paper award

Jannis Vamvas and Rico Sennrich. 2021. Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 10246–10265, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics. [bib] [code] [blogblog]

Jannis Vamvas and Rico Sennrich. 2020. X-Stance: A Multilingual Multi-Target Dataset for Stance Detection. In Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Zurich, Switzerland. [bib] [code] [data] [talk] [blog] ★ best video award