BibTeX

@inProceedings{adesam-berdicevskis-2021-part-304973,
	title        = {Part-of-speech tagging of Swedish texts in the neural era},
	booktitle    = {Proceedings of the 23rd Nordic Conference on Computational Linguistics, NoDaLiDa, May 31–2 June, 2021, Reykjavik, Iceland (online) / eds Simon Dobnik and Lilja Øvrelid},
	author       = {Adesam, Yvonne and Berdicevskis, Aleksandrs},
	year         = {2021},
	publisher    = { Linköping University Electronic Press},
	address      = {Linköping},
	ISBN         = { 978-91-7929-614-8},
	pages        = {200--209},
}

@incollection{adesam-etal-2021-lexical-310933,
	title        = {A lexical resource for computational historical linguistics},
	abstract     = {In this chapter we present the diachronic dimension of Swedish FrameNet++. We describe the historical lexical resources currently available for Swedish, linked to the Contemporary Swedish lexicon Saldo. We present a case study of how interlinking the dictionaries simultaneously allows us to study lexical change. We also present a method of linking text words to lexicon entries, facilitating interactive exploration of historical texts. Diachronical language resources present both a high-variation challenge from a wider language technology perspective, and an interesting object of linguistic study. While a number of improvements of the parts of the diachronic lexical macroresource are still needed, this resource is invaluable for analysing and accessing historical texts, as well as for both synchronic historical and diachronic lexical studies.},
	booktitle    = {The Swedish FrameNet++. Harmonization, integration, method development and practical language technology applications},
	author       = {Adesam, Yvonne and Andersson, Peter and Borin, Lars and Bouma, Gerlof},
	year         = {2021},
	publisher    = {John Benjamins Publishing Company},
	address      = {Amsterdam / Philadelphia},
	ISBN         = {978 90 272 5848 9},
	pages        = {98–121},
}

@inProceedings{hansson-etal-2021-swedish-305126,
	title        = {The Swedish Winogender Dataset},
	abstract     = {We introduce the SweWinogender test set, a diagnostic dataset to measure gender bias in coreference resolution. It is modelled after the English Winogender benchmark, and is released with reference statistics on the distribution of men and women between occupations and the association between gender and occupation in modern corpus material. The paper discusses the design and creation of the dataset, and presents a small investigation of the supplementary statistics.},
	booktitle    = {Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa), May 31 - June 2, 2021, Reykjavik, Iceland (online)},
	author       = {Hansson, Saga and Mavromatakis, Konstantinos and Adesam, Yvonne and Bouma, Gerlof and Dannélls, Dana},
	year         = {2021},
	publisher    = {Linköping University Electronic Press },
	address      = {Linköping },
	ISBN         = {978-91-7929-614-8},
}