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  • 1.
    Ahrenberg, Lars
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Dahlbäck, Nils
    Linköping University, Department of Computer and Information Science, CSELAB - Cognitive Systems Engineering Laboratory. Linköping University, The Institute of Technology.
    Thureé, Åke
    Linköping University.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Customizing Interaction for Natural Language Interfaces1996Report (Other academic)
    Abstract [en]

    Habitability and robustness have been noted as important qualities of natural-language interfaces. In this paper we discuss how these requirements can be met, in particular as regards the system's ability to support a coherent and smooth dialogue. The discussion is based on current work on customizing a dialogue system for three different applications.   We adopt a sublanguage approach to the problem and propose a method for customization combining bottom-up use of empirical data with a global pragmatic analysis of a given application. Finally, we suggest three design principles that have emerged from our work called the sublanguage principle, the asymmetry principle and the quantity principle.

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    http://www.ep.liu.se/ea/cis/1996/001/cis96001.pdf
  • 2.
    Ahrenberg, Lars
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Danielsson, Henrik
    Linköping University, The Swedish Institute for Disability Research. Linköping University, Department of Behavioural Sciences and Learning, Disability Research. Linköping University, Faculty of Arts and Sciences.
    Bengtsson, Staffan
    The Swedish Institute for Disability Research, Jönköping University, Sweden.
    Arvå, Hampus
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Holme, Lotta
    Linköping University, Department of Behavioural Sciences and Learning, Education, Teaching and Learning. Linköping University, Faculty of Educational Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Studying Disability Related Terms with Swe-Clarin Resources2019Conference paper (Refereed)
    Abstract [en]

    In Swedish, as in other languages, the words used to refer to disabilities and people with disabilities are manifold. Recommendations as to which terms to use have been changed several times over the last hundred years. In this exploratory paper we have used textual resources provided by Swe-Clarin to study such changes quantitatively. We demonstrate that old and new recommendations co-exist for long periods of time, and that usage sometimes converges.

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    Introduction to proceedings
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    Article in full text
  • 3.
    Ahrenberg, Lars
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Holmer, Daniel
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Holmlid, Stefan
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Analysing Changes in Official Use of the Design Concept Using SweCLARIN Resources2022In: Proceedings of the CLARIN Annual meeting, 2022Conference paper (Refereed)
    Abstract [en]

    We show how the tools and language resources developed within the SweClarin infrastructure can be used to investigate changes in the use and understanding of the Swedish related words arkitektur, design, form, and formgivning. Specifically, we compare their use in two governmental public reports on design, one from 1999 and the other from 2015. We test the hypothesis that their meaning has developed in a way that blurs distinctions that may be important to stakeholders in the respective fields.

  • 4.
    Ahrenberg, Lars
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Holmer, Daniel
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Holmlid, Stefan
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Analysing changes in official use of the design concept using SweCLARIN resources2023In: Selected papers from the CLARIN Annual Conference 2022 / [ed] Tomaž Erjavec and Maria Eskevich, Linköping: Linköping University Electronic Press, 2023Conference paper (Refereed)
    Abstract [en]

    We investigate changes in the use of four Swedish words from the fields of design and archi- tecture. It has been suggested that their meanings have been blurred, especially in governmental reports and policy documents, so that distinctions between them that are important to stakeholders in the respective fields are lost. Specifically, we compare usage in two governmental public reports on design, one from 1999 and the other from 2015, and additionally in opinion responses to the 2015 report. Our approach is to contextualise occurrences of the words in different representations of the texts using word embeddings, topic modelling and sentiment analysis. Tools and language resources developed within the SweClarin infrastructure have been crucial for the implementation of the study.

  • 5.
    Albertsson, Sarah
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. SICS East Swedish ICT AB, Linköping, Sweden.
    Rennes, Evelina
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. SICS East Swedish ICT AB, Linköping, Sweden.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. SICS East Swedish ICT AB, Linköping, Sweden.
    Similarity-Based Alignment of Monolingual Corpora for Text Simplification2016In: CL4LC 2016 - Computational Linguistics for Linguistic Complexity: Proceedings of the Workshop, The COLING 2016 Organizing Committee , 2016, p. 154-163Conference paper (Refereed)
    Abstract [en]

    Comparable or parallel corpora are beneficial for many NLP tasks.  The automatic collection of corpora enables large-scale resources, even for less-resourced languages, which in turn can be useful for deducing rules and patterns for text rewriting algorithms, a subtask of automatic text simplification. We present two methods for the alignment of Swedish easy-to-read text segments to text segments from a reference corpus.  The first method (M1) was originally developed for the task of text reuse detection, measuring sentence similarity by a modified version of a TF-IDF vector space model. A second method (M2), also accounting for part-of-speech tags, was devel- oped, and the methods were compared.  For evaluation, a crowdsourcing platform was built for human judgement data collection, and preliminary results showed that cosine similarity relates better to human ranks than the Dice coefficient. We also saw a tendency that including syntactic context to the TF-IDF vector space model is beneficial for this kind of paraphrase alignment task.

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  • 6.
    Andersson, Elsa
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Methods for increasing cohesion in automatically extracted summaries of Swedish news articles2022Conference paper (Refereed)
  • 7.
    Axelsson, Bodil
    et al.
    Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Culture and Society, Division of Culture, Society, Design and Media.
    Holmer, Daniel
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Ahrenberg, Lars
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Studying Emerging New Contexts for Museum Digitisations on Pinterest2021In: Selected Papers from the CLARIN Annual Conference 2020 / [ed] Costanza Navarretta and Maria Eskevich, 2021, p. 24-36Conference paper (Refereed)
    Abstract [en]

    In a SweClarin cooperation project we apply topic modelling to the texts found with pins in Pin-terest boards. The data in focus are digitisations of Viking Age finds from the Swedish History Museum and the underlying research question is how they are given new contextual meanings in boards. We illustrate how topic modelling can support interpretation of polysemy and culturally situated meanings. It expands on the employment of topic modelling by accentuating the necessity of interpretation in every step of the process from capturing and cleaning the data, to modelling and visualisation. The paper concludes that the national context of digitisations of Viking Age jewellery in the Swedish History Museum’s collection management system is re-placed by several transnational contexts in which Viking Age jewellery is appreciated for its symbolical meanings and decorative functions in contemporary genres for re-imagining, relivingand performing European pasts and mythologies. The emerging contexts on Pinterest also high-light the business opportunities involved in genres such as reenactment, neo-paganism, lajv and fantasy. The boards are clues to how digitisations serve as prototypes for replicas.

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  • 8.
    Carlsson, Bertil
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Using the pyramid method to create gold standards for evaluation of extraction based text summarization techniques2010In: Proceedings of the Third Swedish Language Technology Conference (SLTC-2010), 2010Conference paper (Refereed)
  • 9.
    Dahlbäck, Nils
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Experiences with and lessons learned from working with a modular natural language dialogue architecture2003In: Proceedings of HCI International 2003, Lawrence Erlbaum Associates, 2003Conference paper (Refereed)
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  • 10.
    Danielsson, Bengt
    et al.
    Linköping University, Department of Science and Technology, Physics, Electronics and Mathematics. Linköping University, Faculty of Science & Engineering.
    Santini, Marina
    RISE Res Inst Sweden, Sweden.
    Lundberg, Peter
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Al-Abasse, Yosef
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Eneling, Emma
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Stridsman, Magnus
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GAN-BERT2022In: LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, EUROPEAN LANGUAGE RESOURCES ASSOC-ELRA , 2022, p. 5428-5435Conference paper (Refereed)
    Abstract [en]

    In this paper, we compare the performance of two BERT-based text classifiers whose task is to classify patients (more precisely, their medical histories) as having or not having implant(s) in their body. One classifier is a fully-supervised BERT classifier. The other one is a semi-supervised GAN-BERT classifier. Both models are compared against a fully-supervised SVM classifier. Since fully-supervised classification is expensive in terms of data annotation, with the experiments presented in this paper, we investigate whether we can achieve a competitive performance with a semi-supervised classifier based only on a small amount of annotated data. Results are promising and show that the semi-supervised classifier has a competitive performance when compared with the fully-supervised classifier.

  • 11.
    Degerstedt, Lars
    et al.
    Linköping University, Department of Computer and Information Science.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science.
    A Method for Iterative Implementation of Dialogue Management2001In: IJCAI Workshop on Knowledge and Reasoning in Practical Dialogue Systems, Seattle, 2001Conference paper (Refereed)
    Abstract [en]

    This paper presents an approach to implementation of dialogue management modules for dialogue systems. The implementation method is divided into two distinct, but correlated, steps; Conceptual design and Framework customisation. Conceptual design and framework customisation are two mutually dependent sides of the same phenomena, where the former is an on-paper activity that results in a design document and the latter results in the actual program code. The method is iterative and conforms with software development methods, such as, extreme programming, scenario-based design and reusable object-oriented software development. In the paper, this is further elaborated and how it relates to dialogue systems development.

  • 12.
    Degerstedt, Lars
    et al.
    Linköping University, Department of Computer and Information Science.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science.
    Iterative Implementation of Dialogue System Modules2001In: Proceedings of Eurospeech 2001,Aalborg, Denmark, International Speech Communication Association , 2001, p. 2193-2196Conference paper (Refereed)
    Abstract [en]

    This paper presents an approach to the implementation of modules for dialogue systems. The implementation method is divided into two distinct, but correlated, steps; Conceptual design and Framework customisation. Conceptual design and framework customisation are two mutually dependent sides of the same phenomena, where the former is an on-paper activity that results in a design document and the latter results in the actual implementation. The method is iterative and applicable in various phases of dialogue system development and also for different dialogue system modules. We also present the development of the dialogue management module in more detail. The development space for such modules involves issues on modularisation, knowledge representation and interface functionality internally, and between modules. Orthogonal to this are the various types of re-use for framework customisation; tools, framework template and code patterns. Taken together they form a scheme which is explored during the implementation process.

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  • 13.
    Degerstedt, Lars
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    LinTest, A development tool for testing dialogue systems2006In: INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, Baixas, FRANCE: ISCA International Speech Communication Association , 2006, p. 489-492Conference paper (Refereed)
    Abstract [en]

    In this paper we present a development tool for testing dialogue systems. Testing software through the specification is important for software development in general and should be as automated as possible. For dialogue systems, the corpus can be seen as one part of the specification and the dialogue system should be tested on available corpora on each new build. The testing tool is inspired from work on agile software development methods, test driven development and unit testing, and can be used in two modes and during various phases of development.

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  • 14.
    Degerstedt, Lars
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
    Jönsson, Arne
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
    Open Resources for Language Technology2004In: Language Resources and Evaluation LREC,2004, Paris: ELDA , 2004Conference paper (Refereed)
  • 15.
    Falkenjack, Johan
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. SICS East Swedish ICT AB .
    Heimann Mühlenbock, Katarina
    Göteborgs Universitet.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. SICS East Swedish ICT AB .
    Features indicating readability in Swedish text2013In: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013) / [ed] Stephan Oepen, Kristin Hagen, Janne Bondi Johannesse, Linköping, 2013, p. 27-40Conference paper (Refereed)
    Abstract [en]

    Studies have shown that modern methods of readability assessment, using automated linguistic analysis and machine learning (ML), is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type.

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    falkenjackmuhlenbockjonssonnodalida2013
  • 16.
    Falkenjack, Johan
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Classifying easy-to-read texts without parsing2014In: Proceedings of the 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR), Association for Computational Linguistics, 2014, p. 114-122Conference paper (Refereed)
    Abstract [en]

    Document classification using automated linguistic analysis and machine learning (ML) has been shown to be a viable road forward for readability assessment. The best models can be trained to decide if a text is easy to read or not with very high accuracy, e.g. a model using 117 parameters from shallow, lexical, morphological and syntactic analyses achieves 98,9% accuracy. In this paper we compare models created by parameter optimization over subsets of that total model to find out to which extent different high-performing models tend to consist of the same parameters and if it is possible to find models that only use features not requiring parsing. We used a genetic algorithm to systematically optimize parameter sets of fixed sizes using accuracy of a Support Vector Machine classi- fier as fitness function. Our results show that it is possible to find models almost as good as the currently best models while omitting parsing based features.

  • 17.
    Falkenjack, Johan
    et al.
    SICS East Swedish ICT AB.
    Jönsson, Arne
    SICS East Swedish ICT AB.
    Implicit readability ranking using the latent variable of a Bayesian Probit model2016In: CL4LC 2016 - Computational Linguistics for Linguistic Complexity: Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, Uppsala universitet Humanistisk-samhällsvetenskapliga vetenskapsområdet , 2016, p. 104-112Conference paper (Refereed)
    Abstract [en]

    Data driven approaches to readability analysis for languages other than English has been plagued by a scarcity of suitable corpora.  Often, relevant corpora consist only of easy-to-read texts with no  rank  information  or  empirical  readability  scores,  making  only  binary  approaches,  such  as classification, applicable.  We propose a Bayesian, latent variable, approach to get the most out of these kinds of corpora. In this paper we present results on using such a model for readability ranking. The model is evaluated on a preliminary corpus of ranked student texts with encourag- ing results.  We also assess the model by showing that it performs readability classification on par with a state of the art classifier while at the same being transparent enough to allow more sophisticated interpretations.

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  • 18.
    Falkenjack, Johan
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Rennes, Evelina
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Fahlborg, Daniel
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Johansson, Vida
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    Services for text simplification and analysis2017In: Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, Linköping University Electronic Press, 2017, Vol. 131, p. 309-313, article id 044Conference paper (Refereed)
    Abstract [en]

    We present a language technology service for web editors’ work on making texts easier to understand, including tools for text complexity analysis, text simplification and text summarization. We also present a text analysis service focusing on measures of text complexity.

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    fulltext
  • 19.
    Falkenjack, Johan
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. SICS East Swedish ICT AB, Linköping, Sweden.
    Santini, Marina
    Linköping University, Department of Computer and Information Science, Human-Centered systems. SICS East Swedish ICT AB, Linköping, Sweden.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. SICS East Swedish ICT AB, Linköping, Sweden.
    An Exploratory Study on Genre Classification using Readability Features2016Conference paper (Other academic)
    Abstract [en]

    We present a preliminary study that explores whether text features used for readability assessment are reliable genre-revealingfeatures. We empirically explore the difference between genre and domain. We carry out two sets of experiments with bothsupervised and unsupervised methods. Findings on the Swedish national corpus (the SUC) show that readability cues are goodindicators of genre variation.

  • 20.
    Flycht-Eriksson (Silvervarg), Annika
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    A Spoken Dialogue System Utilizing Spatial Information1998In: Proceedings of ICSLP'98,Sydney, Australia, 1998Conference paper (Refereed)
  • 21.
    Flycht-Eriksson (Silvervarg), Annika
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Some empirical findings on dialogue management and domain ontologies in dialogue systems - Implications from an evaluation of BirdQuest2003In: 4th Annual SIGdial Workshop on Discourse and Dialogue,Sapporo, 2003, 2003Conference paper (Refereed)
  • 22.
    Flycht-Eriksson (Silvervarg), Annika
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Merkel, Magnus
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Sundblad, Håkan
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Ontology-driven Information-providing Dialogue Systems2003In: Proceedings of the Americas Conference on Information Systems / [ed] Dennis Galletta and Jeanne Ross, Association for Information Systems , 2003Conference paper (Refereed)
  • 23.
    Fried, Andrea
    et al.
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Pantic-Dragisic, Svjetlana
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Mirtsch, Mona
    Communicating preventive innovation - the case of the information security standard ISO/IEC 270012022Conference paper (Other academic)
    Abstract [en]

    Preventive innovation differs from ordinary innovation. The innovation diffusion literature claims that the economic benefits of preventive innovation to adopters, such as ensuring information security, are mainly intangible and often time-delayed and sometimes only adopted for incidents that may never occur. Adopter communication about preventive innovation therefore seems to be crucial.

    Using the example of the information security standard ISO/IEC 27001, we examine how communication of preventive innovations is shaped by its adopters. By analyzing texts about the information security standard ISO/IEC 27001 on Swedish corporate websites using computational linguistics tools and classical content analysis, we could identify, first, different adoption approaches of preventive innovation driven, second, by three modes of data governance: agency, stewardship and brokerage. Third, we provide evidence that the communication of preventive innovation depends on its data governance mode, but, fourth, also on the economic benefits of preventive innovation for adopters.

    Our contribution to the innovation literature is twofold. First, the concept of preventive innovation originally presented by Rogers (1995) is revived and further developed. Comparing it to its original scope, we show that preventive innovation can be meaningful for adopting organizations not only when they go through all possible adoption phases identified by Rogers (1995). Also an economic benefit from preventive innovation is possible. Both aspects, adoption approach as well as economic opportunity strongly shape the production of meaning in communication about preventive innovation. Second, we show that computational linguistics can support qualitative research in the study of meaning production in communication, especially when dealing with large amounts of data, for instance, gained from corporate websites.

  • 24.
    Graichen, Emil
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Context-aware Swedish Lexical Simplification2023Conference paper (Refereed)
  • 25.
    Gustafson, Joakim
    et al.
    KTH.
    Elmberg, Patrik
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Carlson, Rolf
    KTH.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    An educational dialogue system with a user controllable dialogue manager1998In: Proceedings of ICSLP'98, Sydney, Australia, 1998Conference paper (Refereed)
  • 26.
    Gustavsson, Pär
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Text Summarization using Random Indexing and PageRank2010In: Proceedings of the Third Swedish Language Technology Conference (SLTC-2010),, 2010Conference paper (Refereed)
  • 27.
    Hassling, Linda
    et al.
    Inst medicinsk teknik Linköpings universitet.
    Babic, Ankica
    Linköping University, The Institute of Technology. Linköping University, Department of Biomedical Engineering, Medical Informatics.
    Jönsson, Arne
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
    Lönn, Urban
    Dept Cardio-Thoracic surgery Uppsala universitet.
    Ahn, Henrik Casimir
    Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Care, Thoracic Surgery. Östergötlands Läns Landsting, Heart Centre, Department of Thoracic and Vascular Surgery.
    Assessing patient information needs as a part of man-machine dialogue development2001In: AMIA2001,2001, Washington: American Medical Informatics Association , 2001, p. 922-Conference paper (Refereed)
  • 28.
    Heimann Mühlenbock, Katarina
    et al.
    University of Gothenburg, Sweden.
    Johansson Kokkinakis, Sofie
    University of Gothenburg, Sweden.
    Liberg, Caroline
    Uppsala University, Sweden.
    af Geijerstam, Åsa
    Uppsala University, Sweden.
    Wiksten Folkeryd, Jenny
    Uppsala University, Sweden.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Kanebrant, Erik
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Falkenjack, Johan
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    A multivariate model for classifying texts’ readability2015In: Proceedings of the 20th Nordic Conference of Computational Linguistics / [ed] Beáta Megyesi, Linköping University Electronic Press, 2015, Vol. 109, p. 257-261, article id 033Conference paper (Refereed)
    Abstract [en]

    We report on results from using the multivariate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content, readability and genre in combination with the profile of a student’s reading ability form the base to individually adapted texts. The procedure of levelling texts into different stages of complexity is presented along with results from the first cycle of tests conducted on 8th grade students. The results show that SVIT can be used to classify texts into different complexity levels.

    Download full text (pdf)
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  • 29.
    Heimann Mühlenbock, Katarina
    et al.
    Göteborgs Universitet, Sweden.
    Kanebrant, Erik
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Johansson Kokkinakis, Sofie
    Göteborgs Universitet, Sweden.
    Jönsson, Arne
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, Human-Centered systems.
    Liberg, Caroline
    Uppsala Universitet, Sweden.
    af Geijerstam, Åsa
    Uppsala Universitet, Sweden.
    Falkenjack, Johan
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Wiksten, Jenny
    Uppsala Universitet, Sweden.
    Studies on automatic assessment of students’ reading ability2014In: Proceedings of the Fifth Swedish Language Technology Conference (SLTC-14), 2014Conference paper (Refereed)
    Abstract [en]

    We report results from ongoing research on developing sophisticated measures for assessing a student’s reading ability and a tool for the student and teacher to create a profile of this ability. In the project we will also investigate how these measures can be transformed to values on known criteria like vocabulary, grammatical fluency and so forth, and how these can be used to analyse texts. Such text criteria, sensitive to content, readability and genre in combination with the profile of a student’s reading ability will form the base to individually adapted texts. Techniques and tools will be developed for selecting suitable texts, automatic summarisation of texts and automatic transformation to easy-to-read Swedish.

  • 30.
    Holmer, Daniel
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Ahrenberg, Lars
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Monsen, Julius
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Apel, Mikael
    Sveriges Riksbank.
    Blix Grimaldi, Marianna
    The Swedish National Debt Office.
    Who said what? Speaker Identification from Anonymous Minutes of Meetings2023In: Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) / [ed] Tanel Alumäe and Mark Fishel, 2023Conference paper (Refereed)
  • 31.
    Holmer, Daniel
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Comparing the performance of various Swedish BERT models for classification2020Conference paper (Refereed)
  • 32.
    Horne, Merle
    et al.
    Lund University.
    Hansson, Petra
    Lund University.
    Bruce, Gösta
    Lund University.
    Frid, Johan
    Lund University.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Accentuation of Domain-related Information in Swedish Dialogues1999In: Proceedings of ESCA Tutorial and Research Workshop on Dialogue and Prosody, Veldhoven, The Netherlands, 1999Conference paper (Refereed)
  • 33.
    Jerdhaf, Oskar
    et al.
    Region Östergötland.
    Santini, Marina
    RISE Research Institutes of Sweden.
    Lundberg, Peter
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics.
    Bjerner, Tomas
    Al-Abasse, Yosef
    Region Östergötland. Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Vakili, Thomas
    Stockholm University, Sweden.
    Evaluating Pre-Trained Language Models for Focused Terminology Extraction from Swedish Medical Records2022In: Proceedings of the Workshop on Terminology in the 21st century: many faces, many places / [ed] Rute Costa, Sara Carvalho, Ana Ostroški Anić, Anas Fahad Khan, European Language Resources Association , 2022, Vol. 2022.term-1, p. 30-32Conference paper (Refereed)
    Abstract [en]

    In the experiments briefly presented in this abstract, we compare the performance of a generalist Swedish pre-trained languagemodel with a domain-specific Swedish pre-trained model on the downstream task of focused terminology extraction of implantterms, which are terms that indicate the presence of implants in the body of patients. The fine-tuning is identical for bothmodels. For the search strategy we rely on KD-Tree that we feed with two different lists of term seeds, one with noise and onewithout noise. Results shows that the use of a domain-specific pre-trained language model has a positive impact on focusedterminology extraction only when using term seeds without noise.

  • 34.
    Jerdhaf, Oskar
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering.
    Santini, Marina
    Digital Health, RISE, Sweden.
    Lundberg, Peter
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Karlsson, Anette
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. Region Östergötland, Center for Diagnostics, Medical radiation physics. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Focused Terminology Extraction for CPSs: The Case of "Implant Terms" in Electronic Medical Records2021In: Proceedings of the IEEE International Conference on Communications Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (IEEE CCN-CPS 2021), Institute of Electrical and Electronics Engineers (IEEE), 2021Conference paper (Refereed)
    Abstract [en]

    Language Technology is an essential component of many Cyber-Physical Systems (CPSs) because specialized linguistic knowledge is indispensable to prevent fatal errors. We present the case of automatic identification of implant terms. The need of an automatic identification of implant terms spurs from safety reasons because patients who have an implant may or may be not submitted to Magnetic Resonance Imaging (MRI). Normally, MRI scans are safe. However, in some cases an MRI scan may not be recommended. It is important to know if a patient has an implant, because MRI scanning is incompatible with some implants. At present, the process of ascertain whether a patient could be at risk is lengthy, manual, and based on the specialized knowledge of medical staff. We argue that this process can be sped up, streamlined and become safer by sieving through patients' medical records. In this paper, we explore how to discover implant terms in electronic medical records (EMRs) written in Swedish with an unsupervised approach. To this aim we use BERT, a state-of-the-art deep learning algorithm based on pre-trained word embeddings. We observe that BERT discovers a solid proportion of terms that are indicative of implants.

  • 35.
    Johansson, Marcus
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Danielsson, Henrik
    Linköping University, Department of Behavioural Sciences and Learning, Disability Research. Linköping University, Faculty of Arts and Sciences.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Human evaluation of extraction based summaries2012In: Proceedings of the Fourth Swedish Language Technology Conference, 2012, 2012Conference paper (Other academic)
  • 36.
    Johansson, Pontus
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Degerstedt, Lars
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Iterative Developmentof an Information-Providing Dialogue System2002In: Proceedings of the 7th ERCIM Workshop on User Interfaces for All. Paris, France. 2002., 2002, p. 29-36Conference paper (Refereed)
  • 37.
    Johansson, Robert
    et al.
    Linköping University, Department of Computer and Information Science. Department of Clinical Neuroscience, Karolinska Institute, Sweden.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    Consider Clojure: A modern Lisp that runs on Java and Javascript hosts2017Conference paper (Refereed)
  • 38.
    Johansson, Robert
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.
    Consider Clojure: A modern Lisp that runs on Java and Javascript hosts2016In: Proceedings of the 12'th SweCog Conference / [ed] [ed] Alexander Almér, Robert Lowe, Erik Billing, Skövde: University of Skövde , 2016Conference paper (Other academic)
    Abstract [en]

    Developing software is a key methodology in cognitive science. Lisp is a family of programming languages that historically has been very influential in cognitive science in general and in the field of artificial intelligence in particular. Scientists and practitioners alike were drawn to Lisp due to its intelligent design and elegance. However, for various reasons it has become more and more uncommon to use Lisp in cognitive science and AI research.

    Clojure is a modern Lisp language that compiles both to the Java virtual machine and to Javascript. This enables us to write fast, stand-alone applications in Lisp that runs on computers, smartphones and in web browsers - everything written in the same language. Clojure encourages functional programming – an approach to software development in where we model our application in terms of data flowing through the system. The design and implementation of an application then become a process where the developer writes modular parts that transforms data. Such workflow open up for very elegant solutions to some of today's problems in software development in general and in the field of web applications in particular.

    Clojure can be used for everything from resource-intensive server-side applications to lightweight applications that runs in the browser or as a smartphone application. In addition, Clojure has a rich eco-system of freely available libraries to make development become like building things with LEGO.

    In this talk, we will give a technical demonstration of the language in where we demonstrate various aspects of the language that is relevant for cognitive science researchers and practitioners. We will also demonstrate an e- Health application that has been written in Clojure. It enables clinical practitioners to use the Internet to provide psychological treatment to individuals with for example depression and anxiety. Our experiences with Clojure in developing this application will be described. We have also made efforts to teach software development with Clojure to clinical psychologists to enable them to write e-Health web applications without any background in software development. This project will also be described in the talk.

    We believe that Clojure combines the best of both worlds – elegance and performance. With this talk, we hope to demonstrate why we believe Clojure is a perfect fit for both research and practice in the field of cognitive science.

    References

    Johansson, R. (in preparation). Functional programming with Clojure.

    Johansson, R. (in preparation). Writing the code for ICBT web applications.

  • 39.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, Faculty of Health Sciences.
    A Dialogue Manager for Natural Language Interfaces1995In: Proceedings of the Pacific Association for Computational Linguistics, Second conference The University of Queensland, Brisbane, Australia, 1995Conference paper (Refereed)
  • 40.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    A Method for Development of Dialogue Managers for Natural Language Interfaces,1993In: Proceedings of AAAI-93, 1993Conference paper (Refereed)
  • 41.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    A Model for Dialogue Management for Human Computer Interaction1996In: Proceedings of ISSD'96, Philadelphia, 1996Conference paper (Refereed)
  • 42.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    A model for habitable and efficient dialogue management for natural language interaction1997In: Natural Language Engineering, ISSN 1351-3249, E-ISSN 1469-8110, Vol. 3, no 2/3, p. 103-122Article in journal (Refereed)
    Abstract [en]

    Natural language interfaces require dialogue models that allow for robust, habitable and efficient interaction. This paper presents such a model for dialogue management for natural language interfaces. The model is based on empirical studies of human computer interaction in various simple service applications. It is shown that for applications belonging to this class the dialogue can be handled using fairly simple means. The interaction can be modeled in a dialogue grammar with information on the functional role of an utterance as conveyed in the linguistic structure. Focusing is handled using dialogue objects recorded in a dialogue tree representing the constituents of the dialogue. The dialogue objects in the dialogue tree can be accessed by the various modules for interpretation, generation and background system access. Focused entities are modeled in entities pertaining to objects or sets of objects, and related domain concept information; properties of the domain objects. A simple copying principle, where a new dialogue object's focal parameters are instantiated with information from the preceding dialogue object, accounts for most context dependent utterances. The action to be carried out by the interface is determined on the basis of how the objects and related properties are specified. This in turn depends on information presented in the user utterance, context information from the dialogue tree and information in the domain model. The use of dialogue objects facilitates customization to the sublanguage utilized in a specific application. The framework has successfully been applied to various background systems and interaction modalities. In the paper results from the customization of the dialogue manager to three typed interaction applications are presented together with results from applying the model to two applications utilizing spoken interaction.

  • 43.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Combining dialogue system development with information extraction techniques2003In: ELSNEWS, Vol. 12, no 2, p. 5-5Article in journal (Other academic)
    Abstract [en]

    n/a

  • 44.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Dialogue Actions for Natural Language Interfaces1995In: Proceedings of IJCAI-95, Montrèal, Canada, 1995Conference paper (Refereed)
  • 45.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Kan IT-system förstå ostrukturerad information?2003In: Sundsvall 42, 2003, p. 76-79Conference paper (Other academic)
  • 46.
    Jönsson, Arne
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Natural Language Generation without Intentions1996In: Proceedings of the ECAI 96 Workshop Gaps and Bridges: New Directions in Planning and Natural Language Generation, 1996Conference paper (Refereed)
  • 47.
    Jönsson, Arne
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Alexandersson, JanBecker, TillmanJokinen, KristiinaMerkel, MagnusLinköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    IJCAI 2003 workshop on Knowledge and Reasoning in Practical Dialogue Systems2003Conference proceedings (editor) (Other academic)
  • 48.
    Jönsson, Arne
    et al.
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Andén, Frida
    Degerstedt, Lars
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Flycht-Eriksson (Silvervarg), Annika
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
    Merkel, Magnus
    Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.
    Norberg, Sara
    Experiences from combining dialogue system development with information extraction techniques2004In: New directions in question answering: papers from the AAAI Spring Symposium / [ed] Mark T. Maybury, Boston: AAAI Press , 2004, p. 153-168Chapter in book (Other academic)
    Abstract [en]

    Next generation question answering systems are challenged on many fronts including but not limited to massive, heterogeneous and sometimes streaming collections, diverse and challenging users, and the need to be sensitive to context, ambiguity, and even deception. This chapter describes new directions in question answering (QA) including enhanced question processing, source selection, document retrieval, answer determination, and answer presentation generation. We consider important directions such as answering questions in context (e.g., previous queries, day or time, the data, the task, location of the interactive device), scenario based QA, event and temporal QA, spatial QA, opinionoid QA, multimodal QA, multilingual QA, user centered and collaborative QA, explanation, interactive QA, QA reuse, and novel architectures for QA. The chapter concludes by outlining a roadmap of the future of question answering, articulating necessary resources for, impediments to, and planned or possible future capabilities.

  • 49.
    Jönsson, Arne
    et al.
    Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory.
    Axelsson, Mimi
    Linköping University.
    Bergenholm, Erica
    Linköping University.
    Carlsson, Bertil
    Linköping University.
    Dahlbom, Gro
    Linköping University.
    Gustavsson, Pär
    Linköping University.
    Rybing, Jonas
    Linköping University.
    Smith, Christian
    Linköping University.
    Skim reading of audio information2008In: The second Swedish Language Technology Conference SLTC-08,2008, 2008, p. 23-24Conference paper (Refereed)
  • 50.
    Jönsson, Arne
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.
    Bandyopadhyay, Subhomoy
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Pantic-Dragisic, Svjetlana
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Fried, Andrea
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Analyses of information security standards on data crawled from company web sites using SweClarin resources2023In: CLARIN Annual Conference Proceedings: 2023 / [ed] Krister Lindén, Jyrki Niemi, and Thalassia Kontino, 2023Conference paper (Refereed)
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