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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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3 research outcomes, page 1 of 1
  • other research product . textual data in tab-separated format . 2019
    Authors:
    Wiegand, Michael (Spoken Language Systems, Saarland University (2010-2018), Leibniz Institute for the German Language (since 2019)); Bocionek, Christine (Spoken Language Systems, Saarland University); Ruppenhofer, Josef (Leibniz Institute for the German Language);
    Publisher: heiDATA

    This dataset contains gold standards that are required for building a classifier that automatically extracts opinion (noun) compounds.

  • other research product . textual data in tab-separated format . 2019
    Authors:
    Becker, Maria (Department of Computational Linguistics, Heidelberg University, Germany);
    Publisher: heiDATA

    <p>Semantic clause types, also called Situation Entity (SE) types (Smith, 2003) are linguistic characterizations of aspectual properties shown to be useful for tasks like argumentation structure analysis (Becker et al., 2016), genre characterization (Palmer and Friedric...

  • other research product . textual data in tab-separated format . 2019
    Authors:
    Wiegand, Michael (Spoken Language Systems, Saarland University (2010-2018), Leibniz Institute for the German Language (since 2019)); Ruppenhofer, Josef (Leibniz Institute for the German Language); Schulder, Marc (Spoken Language Systems, Saarland University);
    Publisher: heiDATA

    This gold standard contains sentiment expressions (verbs, nouns and adjectives) that have been annotated according to their (prior) sentiment view. Each sentiment expression is labelled either as actor or speaker view.

3 research outcomes, page 1 of 1