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Elena Volodina

5 accepted papers

2025

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment

Joseph Marvin Imperial, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Mu{\~n}oz S{\'a}nchez, Lingyun Gao +13
EMNLP 2025

We introduce UniversalCEFR, a large-scale multilingual multidimensional dataset of texts annotated according to the CEFR (Common European Framework of Reference) scale in 13 languages. To enable open research in both automated readability and language proficiency assessment, UniversalCEFR comprises

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2024

Pseudonymization Categories across Domain Boundaries

Maria Irena Szawerna, Simon Dobnik, Therese Lindström Tiedemann, Ricardo Muñoz Sánchez, Xuan-Son Vu, Elena Volodina
COLING 2024main

Linguistic data, a component critical not only for research in a variety of fields but also for the development of various Natural Language Processing (NLP) applications, can contain personal information. As a result, its accessibility is limited, both from a legal and an ethical standpoint. One of…

Cited by 3Source ↗PDF ↗Scholar ↗
2024

Towards an Ideal Tool for Learner Error Annotation

Špela Arhar Holdt, Tomaž Erjavec, Iztok Kosem, Elena Volodina
COLING 2024main

Annotation and analysis of corrections in learner corpora have always presented technical challenges, mainly on account of the fact that until now there has not been any standard tool available, and that original and corrected versions of texts have been mostly stored together rather than treated as…

Cited by 4Source ↗PDF ↗Scholar ↗
2023

Superlim: A Swedish Language Understanding Evaluation Benchmark

Aleksandrs Berdicevskis, Gerlof Bouma, Robin Kurtz, Felix Morger, Joey Öhman, Yvonne Adesam +12
EMNLP 2023long main

We present Superlim, a multi-task NLP benchmark and analysis platform for evaluating Swedish language models, a counterpart to the English-language (Super)GLUE suite. We describe the dataset, the tasks, the leaderboard and report the baseline results yielded by a reference implementation. The tested…

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2020

Towards Privacy by Design in Learner Corpora Research: A Case of On-the-fly Pseudonymization of Swedish Learner Essays

Elena Volodina, Yousuf Ali Mohammed, Sandra Derbring, Arild Matsson, Beata Megyesi
COLING 2020main

This article reports on an ongoing project aiming at automatization of pseudonymization of learner essays. The process includes three steps: identification of personal information in an unstructured text, labeling for a category, and pseudonymization. We experiment with rule-based methods for detect…

Cited by 19Source ↗PDF ↗code ↗Scholar ↗