BibTeX

@inProceedings{berdicevskis-etal-2023-superlim-331445,
	title        = {Superlim: A Swedish Language Understanding Evaluation Benchmark},
	booktitle    = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, December 6-10, 2023, Singapore  / Houda Bouamor, Juan Pino, Kalika Bali (Editors)},
	author       = {Berdicevskis, Aleksandrs and Bouma, Gerlof and Kurtz, Robin and Morger, Felix and Öhman, Joey and Adesam, Yvonne and Borin, Lars and Dannélls, Dana and Forsberg, Markus and Isbister, Tim and Lindahl, Anna and Malmsten, Martin and Rekathati, Faton and Sahlgren, Magnus and Volodina, Elena and Börjeson, Love and Hengchen, Simon and Tahmasebi, Nina},
	year         = {2023},
	publisher    = {Association for Computational Linguistics},
	address      = {Stroudsburg, PA},
	ISBN         = {979-8-89176-060-8},
	pages        = {8137--8153},
}

@incollection{borin-etal-2023-language-337444,
	title        = {Language Report Swedish},
	abstract     = {Swedish speech and language technology (LT) research goes back over 70 years. This has paid off: there is a national research infrastructure, as well as significant research projects, and Swedish is well-endowed with language resources (LRs) and tools. However, there are gaps that need to be filled, especially high-quality goldstandard LRs required by the most recent deep-learning methods. In the future, we would like to see closer collaborations and communication between the “traditional” LT research community and the burgeoning AI field, the establishment of dedicated academic LT training programmes, and national funding for LT research.},
	booktitle    = {Cognitive Technologies},
	author       = {Borin, Lars and Domeij, Rickard and Edlund, Jens and Forsberg, Markus},
	year         = {2023},
	pages        = {219--222},
}

@incollection{virk-etal-2023-lingfn-337386,
	title        = {LingFN: A Framenet for the Linguistic Domain},
	abstract     = {Frame semantics is a theory of meaning in natural language, which defines the structure of the lexical semantic resources known as framenets. Both framenets and frame semantics have proved useful for a number of natural language processing (NLP) tasks. However, in this connection framenets have often been criticized for their limited coverage. A proposed reasonable-effort solution to this problem is to develop domain-specific (sublanguage) framenets to complement the corresponding general-language framenets for particular NLP tasks, and in the literature we find such initiatives covering domains such as medicine, soccer, and tourism. In this paper, we report on building a framenet to cover the terms and concepts encountered in descriptive linguistic grammars (written in English) i.e. a framenet for the linguistic domain (LingFN) to complement the general-language BFN.},
	booktitle    = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	author       = {Virk, Shafqat and Klang, Per and Borin, Lars and Saxena, Anju},
	year         = {2023},
	ISBN         = {9783031243363},
	pages        = {367--379},
}

@article{hammarlin-etal-2023-covid-329784,
	title        = {COVID-19 Vaccine Hesitancy: A Mixed Methods Investigation of Matters of Life and Death.},
	abstract     = {In this article, hesitancy towards COVID-19 vaccinations is investigated as a phenomenon  touching  upon  existential  questions.  We  argue  that  it encompasses  ideas  of  illness  and  health,  and  also  of  dying  and  fear  of suffering. Building on a specific strand within anti-vaccination studies, we conjecture that vaccine hesitancy is, to some extent, reasonable, and that this scepticism should be studied with compassion. Through a mixed methods approach, vaccine hesitancy, as it is being expressed in a Swedish digital open forum, is investigated and understood as, on the one hand, a perceived need of protecting one’s body from techno-scientific experiments, and thus the risk of becoming a victim of medicine itself. On the other hand, the community members  express  what  we  call  a  tacit  belief  in  modern  medicine by demonstrating their own “expert” pandemic knowledge. The analysis also shows how the COVID-19 pandemic triggers memories of another pandemic, namely the swine flu in 2009–2010, and what we term a medical crisis that occurred then, due to a vaccine thatcaused a rare but severe side effect in Sweden and elsewhere.},
	journal      = {Journal of Digital Social Research (JDSR)},
	author       = {Hammarlin, MIa-Marie and Kokkinakis, Dimitrios and Borin, Lars},
	year         = {2023},
	volume       = {5},
	number       = {4},
	pages        = {31--61},
}