Ildiko Pilan
Ildiko Pilan
Senior Research Scientist, Norwegian Computing Center
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Rule-based and machine learning approaches for second language sentence-level readability
I Pilán, E Volodina, R Johansson
Proceedings of the ninth workshop on innovative use of NLP for building …, 2014
You get what you annotate: a pedagogically annotated corpus of coursebooks for Swedish as a Second Language
E Volodina, I Pilán, SR Eide, H Heidarsson
NEALT Proceedings Series 22, 128-144, 2014
Anonymisation Models for Text Data: State of the Art, Challenges and Future Directions
P Lison, I Pilán, D Sánchez, M Batet, L Øvrelid
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
The image of the monolingual dictionary across Europe. Results of the European survey of dictionary use and culture
I Kosem, R Lew, C Müller-Spitzer, M Ribeiro Silveira, S Wolfer, A Dorn, ...
International Journal of Lexicography 32 (1), 92-114, 2019
A Readable Read: Automatic Assessment of Language Learning Materials based on Linguistic Complexity
I Pilán, S Vajjala, E Volodina
Presented at CICLING 2015. To appear in International Journal of …, 2016
Swell on the rise: Swedish learner language corpus for European reference level studies
E Volodina, I Pilán, I Enström, L Llozhi, P Lundkvist, G Sundberg, ...
arXiv preprint arXiv:1604.06583, 2016
The text anonymization benchmark (tab): A dedicated corpus and evaluation framework for text anonymization
I Pilán, P Lison, L Øvrelid, A Papadopoulou, D Sánchez, M Batet
Computational Linguistics 48 (4), 1053-1101, 2022
Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks
I Pilán, E Volodina, T Zesch
Proceedings of COLING 2016, the 26th International Conference on …, 2016
SVALex: a CEFR-graded lexical resource for Swedish foreign and second language learners
T François, E Volodina, I Pilán, A Tack
Proceedings of the Tenth International Conference on Language Resources and …, 2016
The SweLL language learner corpus: From design to annotation
E Volodina, L Granstedt, A Matsson, B Megyesi, I Pilán, J Prentice, ...
Northern European Journal of Language Technology (NEJLT) 6, 67-104, 2019
A flexible language learning platform based on language resources and web services.
E Volodina, I Pilán, L Borin, TL Tiedemann
LREC, 3973-3978, 2014
Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation
I Pilán, E Volodina, L Borin
arXiv preprint arXiv:1706.03530, 2017
Investigating the importance of linguistic complexity features across different datasets related to language learning
I Pilán, E Volodina
Proceedings of the Workshop on Linguistic Complexity and Natural Language …, 2018
Classification of Swedish learner essays by CEFR levels
E Volodina, I Pilán, D Alfter
CALL communities and culture–short papers from EUROCALL 2016, 456-461, 2016
Automatic selection of suitable sentences for language learning exercises
I Pilán, E Volodina, R Johansson
20 Years of EUROCALL: Learning from the Past, Looking to the Future: 2013 …, 2013
From distributions to labels: A lexical proficiency analysis using learner corpora
D Alfter, Y Bizzoni, A Agebjörn, E Volodina, I Pilán
Proceedings of the joint workshop on NLP for Computer Assisted Language …, 2016
SweLLex: second language learners’ productive vocabulary
E Volodina, I Pilán, L Llozhi, B Degryse, T François
Proceedings of the joint workshop on NLP for Computer Assisted Language …, 2016
Synthetic data for annotation and extraction of family history information from clinical text
PH Brekke, T Rama, I Pilán, Ø Nytrø, L Øvrelid
Journal of Biomedical Semantics 12, 1-11, 2021
Coursebook texts as a helping hand for classifying linguistic complexity in language learners’ writings
I Pilán, D Alfter, E Volodina
Proceedings of the workshop on Computational Linguistics for Linguistic …, 2016
SB@ GU at the complex word identification 2018 shared task
D Alfter, I Pilán
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building …, 2018
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