BibTeX

@article{forsgren-etal-2023-text-330978,
	title        = {The use of text-mining software to facilitate screening of literature on centredness in health care.},
	abstract     = {Research evidence supporting the implementation of centredness in health care is not easily accessible due to the sheer amount of literature available and the diversity in terminology and conceptualisations used. The use of text-mining functions to semi-automate the process of screening and collating citations for a review is a way of tackling the vast amount of research citations available today. There are several programmes that use text-mining functions to facilitate screening and data extraction for systematic reviews. However, the suitability of these programmes for reviews on broad topics of research, as well as the general uptake by researchers, is unclear. This commentary has a dual aim, which consists in outlining the challenges of screening literature in fields characterised by vague and overlapping conceptualisations, and to exemplify this by exploratory use of text-mining in the context of a scoping review on centredness in health care.},
	journal      = {Systematic Reviews},
	author       = {Forsgren, Emma and Wallström, Sara and Feldthusen, Caroline and Zechner, Niklas and Sawatzky, Richard and Öhlén, Joakim},
	year         = {2023},
	volume       = {12},
	number       = {1},
	pages        = {73},
}

@inProceedings{zechner-2021-cross-322911,
	title        = {Cross-Topic Author Identification – a Case Study on Swedish Literature},
	booktitle    = {The Eighth Swedish Language Technology Conference (SLTC-2020), Selected Contributions, 25–27 November 2020, Gothenburg, Sweden, Online},
	author       = {Zechner, Niklas},
	year         = {2021},
	publisher    = {Linköping University Electronic Press},
	address      = {Linköping },
	ISBN         = {978-91-7929-614-8},
}

@inProceedings{ingvarsson-etal-2022-order-324051,
	title        = {The New Order of Criticism. Explorations of Book Reviews Between the Interpretative and Algorithmic},
	abstract     = {The New Order of Criticism (2020–2024) is a mixed-methods project combining algorithmic
and interpretative approaches to the study of literary criticism. The project expands on a prior
study of Swedish book reviews from the years 1906, 1956 and 2006 (‘The Order of Criticism’,
Samuelsson 2013), re-examining and re-evaluating the original results through the uses of
computational tools, language technology and big data. The aim of the present paper is to
discuss early experiences and results from the interdisciplinary approach utilized by the current
project, a collaborative process where interpreter and programmer are in dialogue, and where
methodologies, and their instantiation in tools, are reflexively discussed from an
epistemological point of view. In our analysis we ask: How can insights from working with
digital methodologies and tools inform traditional scholarship on literary criticism? How can
interpretative approaches and results inform digital methods?},
	booktitle    = {Digital Humanities in Action: The Sixth Digital Humanities in the Nordic and Baltic Countries conference},
	author       = {Ingvarsson, Jonas and Brodén, Daniel and Samuelsson, L and Wåhlstrand Skärström, Victor and Zechner, Niklas},
	year         = {2022},
	publisher    = {CEUR-WS},
	address      = {Aachen},
}

@inProceedings{ingvarsson-etal-2022-order-323627,
	title        = {The New Order of Criticism. Explorations of Book Reviews
Between the Interpretative and Algorithmic},
	booktitle    = {Digital Humanities in the Nordic and Baltic Countries Conference},
	author       = {Ingvarsson, Jonas and Brodén, Daniel and Samuelsson, Lina and Wåhlstrand Skärström, Victor and Zechner, Niklas},
	year         = {2022},
}

@incollection{borin-etal-2021-swedish-311385,
	title        = {Swedish FrameNet++ – lexical samsara},
	booktitle    = {The Swedish FrameNet++: Harmonization, integration, method development and practical language technology applications / editor(s): Dana Dannélls, Lars Borin and Karin Friberg Heppin},
	author       = {Borin, Lars and Forsberg, Markus and Lönngren, Lennart and Zechner, Niklas},
	year         = {2021},
	publisher    = {John Benjamins},
	address      = {Amsterdam},
	ISBN         = {9789027209900},
	pages        = {69–95},
}

@incollection{zechner-2022-other-322912,
	title        = {The other SAT-Solver: Applying lexicons to SweSAT word questions},
	booktitle    = {Live and Learn – Festschrift in honor of Lars Borin / editors: Elena Volodina, Dana Dannélls, Aleksandrs Berdicevskis, Markus Forsberg, Shafqat Virk},
	author       = {Zechner, Niklas},
	year         = {2022},
	publisher    = {Institutionen för svenska, flerspråkighet och språkteknologi, Göteborgs universitet},
	address      = {Göteborg},
	ISBN         = {978-91-87850-83-7},
	pages        = {167--169},
}

@article{zechner-2020-derivatives-303708,
	title        = {Derivatives of regular expressions with cuts},
	abstract     = {Derivatives of regular expressions are an operation which for a given expression pro-duces an expression for what remains after a specific symbol has been read. This can be used as a step in the process of transforming an expression into a finite string au-tomaton. Cuts are an extension of the ordinary regular expressions; the cut operator is essentially a concatenation without backtracking, formalising a behaviour found in many programming languages. Just as for concatenation, we can also define an iterated cut operator. We show and derive expressions for the derivatives of regular expressions with cuts and iterated cuts. © Institut für Informatik · Justus-Liebig-Universität Giessen.},
	journal      = {Journal of Automata, Languages and Combinatorics},
	author       = {Zechner, Niklas},
	year         = {2020},
	volume       = {25},
	number       = {4},
	pages        = {349--355},
}

@inProceedings{zechner-borin-2020-towards-296900,
	title        = {Towards a Swedish Roget-Style Thesaurus for NLP},
	abstract     = {Bring’s thesaurus (Bring) is a Swedish counterpart of Roget, and its digitized version could make a valuable language resource for use in many and diverse natural language processing (NLP) applications. Fromlexicon, word sense disambiguation, topic detection the literature we know that Roget-style thesauruses and wordnets have complementary strengths in this context, so both kinds of lexical-semantic resource are good to have. However, Bring was published in 1930, and its lexical items are in the form of lemma–POS pairings. In order to be useful in our NLP systems, polysemous lexical items need to be disambiguated, and a large amount of modern vocabulary must be added in the proper places in Bring. The work presented here describes experiments aiming at automating these two tasks, at least in part, where we use the structure of an existing Swedish semantic lexicon – Saldo – both for disambiguation of ambiguous Bring entries and for addition of new entries to Bring.},
	booktitle    = {Proceedings of the 2020 Globalex Workshop on Linked Lexicography. Language Resources and Evaluation Conference (LREC 2020), Marseille, 11–16 May 2020},
	author       = {Zechner, Niklas and Borin, Lars},
	year         = {2020},
	publisher    = {European Language Resources Association},
	address      = {Paris},
	ISBN         = {979-10-95546-46-7},
}

@techreport{ljunglof-etal-2019-assessing-281222,
	title        = {Assessing the quality of Språkbanken’s annotations},
	abstract     = {Most of the corpora in Språkbanken Text consist of unannotated plain text, such as almost all newspaper texts, social media texts, novels and official documents. We also have some corpora that are manually annotated in different ways, such as Talbanken (annotated for part-of-speech and syntactic structure), and the Stockholm Umeå Corpus (annotated for part-of-speech). Språkbanken’s annotation pipeline Sparv aims to automatise the work of automatically annotating all our corpora, while still keeping the manual annotations intact. When all corpora are annotated, they can be made available, e.g., in the corpus searh tools Korp and Strix. Until now there has not been any comprehensive overview of the annotation tools and models that Sparv has been using for the last eight years. Some of them have not been updated since the start, such as the part-of-speech tagger Hunpos and the dependency parser MaltParser. There are also annotation tools that we still have not included, such as a constituency-based parser.
Therefore Språkbanken initiated a project with the aim of conducting such an overview. This document is the outcome of that project, and it contains descriptions of the types of manual and automatic annotations that we currently have in Språkbanken, as well as an incomplete overview of the state-of-the-art with regards to annotation tools and models. },
	author       = {Ljunglöf, Peter and Zechner, Niklas and Nieto Piña, Luis and Adesam, Yvonne and Borin, Lars},
	year         = {2019},
}