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License: CC BY ND
Data sources: Datacite
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Dataset . 2022
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Data sources: Datacite
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Dataset . 2021
License: CC BY ND
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY ND
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY ND
Data sources: Datacite
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DiscoWUG: Discovered Diachronic Word Usage Graphs for German

Authors: Kurtyigit, Sinan; Park, Maike; Schlechtweg, Dominik; Kuhn, Jonas; Schulte im Walde, Sabine;

DiscoWUG: Discovered Diachronic Word Usage Graphs for German

Abstract

This data collection contains discovered diachronic Word Usage Graphs (WUGs) for German. Find a description of the data format, code to process the data and further datasets on the WUGsite. Note: The date given for each word use does not correspond to the exact date of the document from which the use was sampled but only to the midpoint of the respective time period (1800-1899, 1946-1990), as the exact date was not available in the SemEval corpora. Please find more information on the provided data in the papers referenced below. Reference Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn, Sabine Schulte im Walde. 2021. Lexical Semantic Change Discovery. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Extends previous versions with one more annotation round and new clusterings.

Keywords

semantic proximity, graded word meaning annotation, diachronic usage relatedness, semantic change, word-in-context, word usage graphs

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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