Scholar
Irina Proskurina
Google Scholar ID: YPYPhTAAAAAJ
Université de Lyon, Université de Lyon 2
Citations & Impact
Citations
45
H-index
3
i10-index
1
Publications
8
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 2024: Organizing a joint event for PhD students in Lyon who are working in NLP; 2023: Published 1 paper at IDA symposium, 1 paper at BSNLP@EACL, and 1 paper at BabyLM@CoNLL; 2022: Published 1 paper at EMNLP 2022 (Part of master’s thesis), participated in a research internship at ERIC Lab, University of Lyon.
Research Experience
- Before starting her PhD, she interned at the Learner Corpora Lab, part of HSE University, where she collaborated with corpus and computational linguists on grammatical error detection in learner essays and contributed to improving the Grazie tool in partnership with JetBrains. Later, she worked at the Laboratory for Models and Methods of Computational Pragmatics, also part of HSE University, where she explored topological data analysis for acceptability judgments.
Education
- PhD: University of Lyon and Lyon 2, supervised by Prof. Julien Velcin and Prof. Guillaume Metzler; MSc: Computer Science through a double degree program between HSE University and the University of Clermont-Ferrand.
Background
- Deep Learning & NLP Researcher, PhD student at the ERIC Lab, part of the University of Lyon and Lyon 2. Her research focuses on understanding and predicting how compression affects language models, especially regarding biased outcomes. She is also working on new French benchmarks to address these biases.
Miscellany
- Personal interests and other information not provided.
Co-authors