Ildiko Pilan

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Elena VolodinaResearcher, University of GothenburgAdresse e-mail validée de svenska.gu.se
Lars BorinProfessor i språkvetenskaplig databehandling, Språkbanken, Göteborgs universitetAdresse e-mail validée de svenska.gu.se
David AlfterUniversity of GothenburgAdresse e-mail validée de gu.se
Lilja ØvrelidProfessor at the University of OsloAdresse e-mail validée de ifi.uio.no
Pierre LisonChief Research Scientist, Norsk RegnesentralAdresse e-mail validée de nr.no
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyAdresse e-mail validée de gu.se
Torsten ZeschProfessor of Computational Linguistics, Fernuniversität in HagenAdresse e-mail validée de fernuni-hagen.de
David SanchezSerra Hunter Professor and ICREA-Acadèmia Researcher at Universitat Rovira i Virgili (URV)Adresse e-mail validée de urv.cat
Montserrat BatetUniversitat Oberta de CatalunyaAdresse e-mail validée de urv.cat
Thomas FrançoisAssociate Professor at Université catholique de LouvainAdresse e-mail validée de uclouvain.be
Sowmya VajjalaNational Research Council, CanadaAdresse e-mail validée de nrc-cnrc.ca
Paul H Brekke, MD PhDDept. of Cardiology, Oslo University Hospital RikshospitaletAdresse e-mail validée de ous-hf.no
Dan RosénUppsala University, dept. of Pharmaceutical BiosciencesAdresse e-mail validée de farmbio.uu.se
Beata MegyesiProfessor of computational linguistics, Stockholm UniversityAdresse e-mail validée de ling.su.se
Øystein NytrøDepartments of Computer Science, The Arctic University of Norway - UiT and NTNUAdresse e-mail validée de uit.no
Anders AgebjörnMalmö UniversityAdresse e-mail validée de mau.se
Yuri BizzoniAarhus UniversityAdresse e-mail validée de cc.au.dk
Helen YannakoudakisLecturer, King’s College LondonAdresse e-mail validée de kcl.ac.uk
Nitin MadnaniDistinguished AI Engineer at ETSAdresse e-mail validée de ets.org
Ekaterina KochmarAssistant Professor, Natural Language Processing Department, MBZUAIAdresse e-mail validée de mbzuai.ac.ae

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Ildiko Pilan

Senior Research Scientist, Norwegian Computing Center

Adresse e-mail validée de nr.no - Page d'accueil

Natural Language Processing Machine Learning Language Technology Intelligent Computer-Assisted Language Learning Clinical NL


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	81	2021
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	73	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	72*	2014
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	71	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	68	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	55	2022
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	54	2016
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	53	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	46	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	40	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	32	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	31	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	30	2018
Automatic Selection of Suitable Sentences for Language Learning Exercises. I Pilán, E Volodina, R Johansson Research-publishing. net, 2013	29	2013
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	28	2016
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	22	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	20	2016
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	16	2016
Towards a gold standard for Swedish CEFR-based ICALL E Volodina, D Pijetlovic, I Pilán, SJ Kokkinakis Proceedings of the Second Workshop on NLP for Computer-Assisted Language …, 2013	16	2013
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	15	2021

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