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The following results are related to Digital Humanities and Cultural Heritage. Are you interested to view more results? Visit OpenAIRE - Explore.
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9 research outcomes, page 1 of 1
  • other research product . program source code . 2021
    Authors:
    Daza, Angel (Leibniz Institute for the German Language / Department of Computational Linguistics, Heidelberg University);
    Publisher: heiDATA

    This code contains a method to automatically align words from parallel sentences by using multilingual BERT pre-trained embeddings. This can be used to transfer source annotations (for example labeled English sentences) into the target side (for example a German transla...

  • other research product . program source code . 2019
    Authors:
    Kotnis, Bhushan (Department of Computational Linguistics, Heidelberg University, Germany (2016-2018), NEC Laboratories Europe GmbH (since 2018));
    Publisher: heiDATA

    <p> An updated method for link prediction that uses a regularization factor that models relation argument types</p> <strong>Abstract (Kotnis and Nastase, 2017):</strong> </br> Learning relations based on evidence from knowledge repositories relies on processing the avai...

  • other research product . program source code . 2019
    Authors:
    Wiegand, Michael (Spoken Language Systems, Saarland University (2010-2018), Leibniz Institute for the German Language (since 2019));
    Publisher: heiDATA

    System for the Extraction of Subjective Expressions, Sentiment Sources and Sentiment Targets from German Text

  • other research product . program source code . 2019
    Authors:
    Gärtner, Markus (Universität Stuttgart); Kushnarenko, Volodymyr (Universität Ulm); Florian Fritze (Universität Stuttgart);
    Publisher: DaRUS

    Integrated Tool for tracking, versioning and publishing workflows. <ul> <li>Document your workflows on the fly while working</li> <li>Have all your workflow data backed up in a local Git repository</li> <li>Export metadata or data from your workflow in various formats</...

  • other research product . program source code . 2019
    Authors:
    Opitz, Juri (Department of Computational Linguistics, Heidelberg University, Germany);
    Publisher: heiDATA

    <p>Accuracy prediction for AMR parsing predicts 33 accuracy metrics for a given sentence and its (automatic) AMR parse</p> <p><strong>Abstract (Opitz and Frank, 2019):</strong></p> <p>Semantic proto-role labeling (SPRL) is an alternative to semantic role labeling (SRL) ...

  • other research product . program source code . 2020
    Authors:
    Daza, Angel (Leibniz Institute for the German Language);
    Publisher: heiDATA

    <p><strong>Abstract (Daza &amp; Frank 2019):</strong></p> <p>We propose a Cross-lingual Encoder-Decoder model that simultaneously translates and generates sentences with Semantic Role Labeling annotations in a resource-poor target language. Unlike annotation projection ...

  • other research product . program source code . 2019
    Authors:
    Kotnis, Bhushan (Department of Computational Linguistics, Heidelberg University, Germany (2016-2018), NEC Laboratories Europe GmbH (since 2018));
    Publisher: heiDATA

    <p>Reimplementation of four KG factorization methods and six negative sampling methods.</p> <strong> Abstract </strong> </p> Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each...

  • <p>This dataset contains the data platform for the research project "<a href="https://dfk-paris.org/en/ownreality" target="_blank" rel="noopener">OwnReality. To Each His Own Reality</a>".</p> <p>During the course of the project, data was gathered and entered into a data...

  • other research product . program source code . 2020
    Authors:
    Rehbein, Ines (Leibniz Institute for the German Language); Ruppenhofer, Josef (Leibniz Institute for the German Language);
    Publisher: heiDATA

    An method for detecting noise in automatically annotated dependency parse trees, combining MACE (Hovy et al. 2013) with Active Learning.

9 research outcomes, page 1 of 1