BibTeX

@inProceedings{volodina-etal-2023-dalaj-326817,
	title        = {DaLAJ-GED – a dataset for Grammatical Error Detection tasks on Swedish},
	booktitle    = {Proceedings of the 12th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2023)},
	editor       = {David Alfter and Elena Volodina and Thomas François and Arne Jönsson and Evelina Rennes},
	author       = {Volodina, Elena and Ali Mohammed, Yousuf and Berdicevskis, Aleksandrs and Bouma, Gerlof and Öhman, Joey},
	year         = {2023},
	publisher    = { Linköping Electronic Conference Proceedings},
	address      = {Linköping },
	ISBN         = {978-91-8075-250-3},
	pages        = {94--101},
}

@inProceedings{volodina-etal-2023-grandma-328176,
	title        = {Grandma Karl is 27 years old – research agenda for pseudonymization of research data},
	abstract     = {Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it con- tains, e.g names or political opinions. General Data Protection Regulation (GDPR) suggests pseudonymization as a solution to secure open access to research data, but we need to learn more about pseudonymization as an approach before adopting it for manipulation of research data. This paper outlines a research agenda within pseudonymization, namely need of studies into the effects of pseudonymization on unstructured data in relation to e.g. readability and language assessment, as well as the effectiveness of pseudonymization as a way of protecting writer identity, while also exploring different ways of developing context-sensitive algorithms for detection, labelling and replacement of personal information in unstructured data. The recently granted project on pseudonymization ‘Grandma Karl is 27 years old’1 addresses exactly those challenges.},
	booktitle    = {2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), Athens, Greece, 2023},
	author       = {Volodina, Elena and Dobnik, Simon and Lindström Tiedemann, Therese and Vu, Xuan-Son},
	year         = {2023},
	publisher    = {IEEE Computer Society},
	address      = {Los Alamitos},
	ISBN         = {979-8-3503-3379-4},
}

@inProceedings{masciolini-etal-2023-towards-329384,
	title        = {Towards automatically extracting morphosyntactical error patterns from L1-L2 parallel dependency treebanks},
	abstract     = {L1-L2 parallel dependency treebanks are UD-annotated corpora of learner sentences paired with correction hypotheses. Automatic morphosyntactical annotation has the potential to remove the need for explicit manual error tagging and improve interoperability, but makes it more challenging to locate grammatical errors in the resulting datasets. We therefore propose a novel method for automatically extracting morphosyntactical error patterns and perform a preliminary bilingual evaluation of its first implementation through a similar example retrieval task. The resulting pipeline is also available as a prototype CALL application.},
	booktitle    = {Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023), July 13, 2023, Toronto, Canada},
	author       = {Masciolini, Arianna and Volodina, Elena and Dannélls, Dana},
	year         = {2023},
	publisher    = {Association for Computational Linguistics},
	address      = {Stroudsburg, PA},
	ISBN         = {978-1-959429-80-7},
}