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348 Research products

  • Digital Humanities and Cultural Heritage
  • 2014-2023
  • SE
  • Digitala Vetenskapliga Arkivet - Academic Archive On-line
  • Knowmad Institut

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sjöbergh, Jonas; Kann, Viggo;

    We present an online API to access a number of Natural Language Processing services developed at KTH. The services work on Swedish text. They include tokenization, part-of-speech tagging, shallow parsing, compound word analysis, word inflection, lemmatization, spelling error detection and correction, grammar checking, and more. The services can be accessed in several ways, including a RESTful interface, direct socket communication, and premade Web forms. The services are open to anyone. The source code is also freely available making it possible to set up another server or run the tools locally. We have also evaluated the performance of several of the services and compared them to other available systems. Both the precision and the recall for the Granska grammar checker are higher than for both Microsoft Word and Google Docs. The evaluation also shows that the recall is greatly improved when combining all the grammar checking services in the API, compared to any one method, and combining services is made easy by the API. QC 20230328

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    https://ecp.ep.liu.se/index.ph...
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    Publikationer från KTH
    Article . 2021 . Peer-reviewed
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    https://doi.org/10.3384/ecp184...
    Conference object . 2021 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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      https://ecp.ep.liu.se/index.ph...
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      Publikationer från KTH
      Article . 2021 . Peer-reviewed
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      https://doi.org/10.3384/ecp184...
      Conference object . 2021 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kejonen, Olle;

    Populärvetenskaplig text som presenterar en berättelse om den samiska offerplatsen vid Lillsaivis (Unna Sájvva) i Gällivare kommun, nedtecknad på den lulesamiska skogsdialekten 1912. Två kortare texter, nedtecknade vid samma tillfälle, behandlar den traditionella samiska trumman respektive seder knutna till den samiska björnkulten. Notera att detta är författarens korrektur, och att korrekt sidnummer ska vara 24–27.

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    Authors: Andreas Fickers; Pelle Snickars; Mark Williams;

    This issue of VIEW provides a critical survey of new digital humanities (DH) methods and tools directed toward audiovisual (AV) media. DH as a field is still dominated by a focus on textual studies (studies of word culture) that are largely “deaf and blind” in their capacity to search, discover, and study AV materials. The mandate to improve these capacities is clear and unquestioned, though the pathways are fecund and numerous. New and emergent tools related to deep learning algorithms are reasonably expected to change this methodological landscape within the digitally accelerated near-future.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCIS; VIEW Journal...arrow_drop_down
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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ NARCIS; VIEW Journal...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Constant , Mathieu; Nivre , Joakim;

    International audience; We present a transition-based system that jointly predicts the syntactic structure and lexical units of a sentence by building two structures over the input words: a syntactic dependency tree and a forest of lexical units including multiword expressions (MWEs). This combined representation allows us to capture both the syntactic and semantic structure of MWEs, which in turn enables deeper downstream semantic analysis, especially for semi-compositional MWEs. The proposed system extends the arc-standard transition system for dependency parsing with transitions for building complex lexical units. Experiments on two different data sets show that the approach significantly improves MWE identification accuracy (and sometimes syntactic accuracy) compared to existing joint approaches.

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    https://www.aclweb.org/antholo...
    Conference object
    License: CC BY
    Data sources: UnpayWall
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Hyper Article en Ligne
    Other literature type . 2016
    https://doi.org/10.18653/v1/p1...
    Conference object . 2016 . Peer-reviewed
    Data sources: Crossref
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    Authors: Scherman Knutsson, Evelina;

    The intent of this examination is to study anatomical jewelry design, withreproductions of the clitoris and uterus, its feminist connection and symbolism.Three Swedish female designers represent the foundation for this study, wheretheir specific jewelry is analyzed. Choice of designers are Clit co,Feministsmeden and Statement by Lann, a presentation of them can be found inthe second part on page 15. The main question in this study is; How come thewoman's body and genitals have become jewelry and how are these symbolslinked to feminism? Are these anatomical images inclusive or exclusive from agender perspective? The method in this survey focuses on semiotics and imageanalysis with inspiration from discourse analysis and hermeneutics, with atheory rooted in gender, feminism and exposition of the female body. Byfocusing on signification and intention, the study reaches a hypotheticalconclusion about the connection between anatomical jewelry and feminism. Syftet med denna undersökning är att studera anatomisk smyckesdesign, med återgivningenav klitoris och livmodern, dess feministiska anknytning och symbolik. Tre svenska kvinnligadesigners står som material för studien, där deras specifika smycken analyseras. I del två avarbetet presenteras de utvalda kreatörerna Clit co, Feministsmeden och Statement by Lann.Huvudfrågan i denna studie är; Hur kommer det sig att kvinnans kropp och könsorgan harblivit smycken och hur är dessa symboler kopplade till feminism? Är dessa anatomiskaskildringar inkluderande eller exkluderande ur ett genusperspektiv? Metoden i studienfokuserar på semiotisk bildanalys med inspiration ur diskursanalys och hermeneutik, medteori förankrad i genus, feminism och kroppspolitik. Genom att fokusera på budskap ochintention når studien en hypotetisk slutsats kring sambandet mellan anatomiska smycken ochfeminism.

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    Authors: Bjerva, Johannes; Östling, Robert; Veiga, Maria Han; Tiedemann, Jörg; +1 Authors

    A neural language model trained on a text corpus can be used to induce distributed representations of words, such that similar words end up with similar representations. If the corpus is multilingual, the same model can be used to learn distributed representations of languages, such that similar languages end up with similar representations. We show that this holds even when the multilingual corpus has been translated into English, by picking up the faint signal left by the source languages. However, just like it is a thorny problem to separate semantic from syntactic similarity in word representations, it is not obvious what type of similarity is captured by language representations. We investigate correlations and causal relationships between language representations learned from translations on one hand, and genetic, geographical, and several levels of structural similarity between languages on the other. Of these, structural similarity is found to correlate most strongly with language representation similarity, while genetic relationships---a convenient benchmark used for evaluation in previous work---appears to be a confounding factor. Apart from implications about translation effects, we see this more generally as a case where NLP and linguistic typology can interact and benefit one another. 8 pages, accepted for publication in Computational Linguistics (squib)

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    Computational Linguistics
    Other literature type . Article . 2019 . Peer-reviewed
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    Computational Linguistics
    Article
    License: CC BY NC ND
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    Zurich Open Repository and Archive
    Other literature type . 2019
    License: CC BY NC ND
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    https://doi.org/10.48550/arxiv...
    Article . 2019
    License: CC BY NC SA
    Data sources: Datacite
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      Computational Linguistics
      Other literature type . Article . 2019 . Peer-reviewed
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      Computational Linguistics
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      Other literature type . 2019
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      https://doi.org/10.48550/arxiv...
      Article . 2019
      License: CC BY NC SA
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    Authors: Vu, Xuan-Son; Vu, Thanh; Tran, Son N.; Jiang, Lili;

    Given many recent advanced embedding models, selecting pre-trained word embedding (a.k.a., word representation) models best fit for a specific downstream task is non-trivial. In this paper, we propose a systematic approach, called ETNLP, for extracting, evaluating, and visualizing multiple sets of pre-trained word embeddings to determine which embeddings should be used in a downstream task. For extraction, we provide a method to extract subsets of the embeddings to be used in the downstream task. For evaluation, we analyse the quality of pre-trained embeddings using an input word analogy list. Finally, we visualize the word representations in the embedding space to explore the embedded words interactively. We demonstrate the effectiveness of the proposed approach on our pre-trained word embedding models in Vietnamese to select which models are suitable for a named entity recognition (NER) task. Specifically, we create a large Vietnamese word analogy list to evaluate and select the pre-trained embedding models for the task. We then utilize the selected embeddings for the NER task and achieve the new state-of-the-art results on the task benchmark dataset. We also apply the approach to another downstream task of privacy-guaranteed embedding selection, and show that it helps users quickly select the most suitable embeddings. In addition, we create an open-source system using the proposed systematic approach to facilitate similar studies on other NLP tasks. The source code and data are available at https://github.com/vietnlp/etnlp. Comment: 10 pages

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    https://doi.org/10.26615/978-9...
    Conference object . 2019 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2019
    License: arXiv Non-Exclusive Distribution
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      https://doi.org/10.26615/978-9...
      Conference object . 2019 . Peer-reviewed
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      https://doi.org/10.48550/arxiv...
      Article . 2019
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    Authors: Chiang, David; Drewes, Frank; Gildea, Daniel; Lopez, Adam; +1 Authors

    Graphs have a variety of uses in natural language processing, particularly as representations of linguistic meaning. A deficit in this area of research is a formal framework for creating, combining, and using models involving graphs that parallels the frameworks of finite automata for strings and finite tree automata for trees. A possible starting point for such a framework is the formalism of directed acyclic graph (DAG) automata, defined by Kamimura and Slutzki and extended by Quernheim and Knight. In this article, we study the latter in depth, demonstrating several new results, including a practical recognition algorithm that can be used for inference and learning with models defined on DAG automata. We also propose an extension to graphs with unbounded node degree and show that our results carry over to the extended formalism.

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    Computational Linguistics
    Article . 2018 . Peer-reviewed
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    Computational Linguistics
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      Computational Linguistics
      Article . 2018 . Peer-reviewed
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      Computational Linguistics
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    Authors: Johan Edman;

    The traditionally strict alcohol policies of the Nordic countries have all been liberalized. This leads to an increasing policy gap in relation to the drug policies. A prognosis is made about the future of drug policy in Sweden based on the development of alcohol policy – the market will ultimately decide.

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    https://www.stockholmuniversit...
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    https://doi.org/10.16993/bbo.j...
    Part of book or chapter of book . 2021 . Peer-reviewed
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      https://doi.org/10.16993/bbo.j...
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    Authors: Bjerva, Johannes; Grigonyte, Gintare; Östling, Robert; Plank, Barbara;

    We present the RUG-SU team's submission at the Native Language Identification Shared Task 2017. We combine several approaches into an ensemble, based on spelling error features, a simple neural network using word representations, a deep residual network using word and character features, and a system based on a recurrent neural network. Our best system is an ensemble of neural networks, reaching an F1 score of 0.8323. Although our system is not the highest ranking one, we do outperform the baseline by far.

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    https://doi.org/10.18653/v1/w1...
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sjöbergh, Jonas; Kann, Viggo;

    We present an online API to access a number of Natural Language Processing services developed at KTH. The services work on Swedish text. They include tokenization, part-of-speech tagging, shallow parsing, compound word analysis, word inflection, lemmatization, spelling error detection and correction, grammar checking, and more. The services can be accessed in several ways, including a RESTful interface, direct socket communication, and premade Web forms. The services are open to anyone. The source code is also freely available making it possible to set up another server or run the tools locally. We have also evaluated the performance of several of the services and compared them to other available systems. Both the precision and the recall for the Granska grammar checker are higher than for both Microsoft Word and Google Docs. The evaluation also shows that the recall is greatly improved when combining all the grammar checking services in the API, compared to any one method, and combining services is made easy by the API. QC 20230328

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    Publikationer från KTH
    Article . 2021 . Peer-reviewed
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    https://doi.org/10.3384/ecp184...
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      Publikationer från KTH
      Article . 2021 . Peer-reviewed
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      https://doi.org/10.3384/ecp184...
      Conference object . 2021 . Peer-reviewed
      License: CC BY
      Data sources: Crossref
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kejonen, Olle;

    Populärvetenskaplig text som presenterar en berättelse om den samiska offerplatsen vid Lillsaivis (Unna Sájvva) i Gällivare kommun, nedtecknad på den lulesamiska skogsdialekten 1912. Två kortare texter, nedtecknade vid samma tillfälle, behandlar den traditionella samiska trumman respektive seder knutna till den samiska björnkulten. Notera att detta är författarens korrektur, och att korrekt sidnummer ska vara 24–27.

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    Authors: Andreas Fickers; Pelle Snickars; Mark Williams;

    This issue of VIEW provides a critical survey of new digital humanities (DH) methods and tools directed toward audiovisual (AV) media. DH as a field is still dominated by a focus on textual studies (studies of word culture) that are largely “deaf and blind” in their capacity to search, discover, and study AV materials. The mandate to improve these capacities is clear and unquestioned, though the pathways are fecund and numerous. New and emergent tools related to deep learning algorithms are reasonably expected to change this methodological landscape within the digitally accelerated near-future.

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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