Ildikó Pilán

Ildikó Pilán; Final report for the PReVENT IPN project -- log data 2023. Rapport

Daniel Skryseth; Karthik Shivashankar; Ildikó Pilán; Antonio Martini; Technical Debt Classification in Issue Trackers using Natural Language Processing based on Transformers pp. 92 101 9 , doi: https://doi.org/10.1109/TechDebt59074.2023.00017 , 2023. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Fredrik Andreas Dahl; Line Eikvil; Ingunn Fride Tvete; Pierre Lison; Ildikó Pilán; et al. Helse-effektivisering - et mulig satsningsområde for NR 2023. Rapport

Anthi Papadopoulou; Pierre Lison; Lilja Øvrelid; Ildikó Pilán; Bootstrapping Text Anonymization Models with Distant Supervision pp. 4477 4487 , , 2022. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Ildikó Pilán; Pierre Lison; Lilja Øvrelid; Anthi Papadopoulou; David Sánchez; et al. The text anonymization benchmark (TAB): A dedicated corpus and evaluation framework for text anonymization Computational Linguistics, vol. 48, pp. 1053 1101 , (ISSN 0891-2017 1530-9312 ), doi: https://doi.org/10.1162/coli_a_00458 , 2022. Vitenskapelig artikkel

Annabelle Alice Redelmeier; Pierre Lison; Anders Løland; Ildikó Pilán; Predicting insurance fraud with the help of a sentiment analysis model 2021. Rapport

Ildikó Pilán; Automatic readability analysis for second language learners , 2021. Faglig foredrag

Pål Haugar Brekke; Taraka Rama; Ildikó Pilán; Øystein Nytrø; Lilja Øvrelid; Synthetic data for annotation and extraction of family history information from clinical text Journal of Biomedical Semantics, vol. 12, (ISSN 2041-1480 2041-1480 ), doi: https://doi.org/10.1186/s13326-021-00244-2 , 2021. Vitenskapelig artikkel

Pierre Lison; Ildikó Pilán; David Sánchez; Montserrat Batet; Lilja Øvrelid; Anonymisation Models for Text Data: State of the art, Challenges and Future Directions pp. 4188 4203 , doi: https://doi.org/10.18653/v1/2021.acl-long.323 , 2021. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Pierre Lison; Ildikó Pilán; Lilja Øvrelid; David Sánchez Ruenes; Montserrat Batet; Anonymisation Models for Text Data: State of the art, Challenges and Future Directions 2021. Vitenskapelig foredrag

Pierre Lison; Ildikó Pilán; David Sánchez Ruenes; Montserrat Batet; Lilja Øvrelid; Anonymisation Models for Text Data: State of the art, Challenges and Future Directions 2021. Vitenskapelig foredrag

David Alfter; Elena Volodina; Ildikó Pilán; Herbert Lange; Lars Borin; Proceedings of the 9th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2020) (ISSN 978-91-7929-732-9 ), , 2020. Vitenskapelig antologi/Konferanseserie

Ildikó Pilán; Pål Haugar Brekke; Fredrik Andreas Dahl; Tore Gundersen; Haldor Husby; et al. Classification of Syncope Cases in Norwegian Medical Records pp. 79 84 , doi: https://doi.org/10.18653/v1/2020.clinicalnlp-1.9 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Helen Yannakoudakis; Ekaterina Kochmar; Claudia Leacock; Nitin Madnani; Ildikó Pilán; Torsten Zesch; Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications (ISSN 978-1-950737-34-5 ), 2019. Vitenskapelig antologi/Konferanseserie