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DWUG ES: Diachronic Word Usage Graphs for Spanish

Authors: Frank D. Zamora-Reina; Felipe Bravo-Marquez; Dominik Schlechtweg;

DWUG ES: Diachronic Word Usage Graphs for Spanish

Abstract

This data collection contains diachronic Word Usage Graphs (WUGs) for Spanish. Find a description of the data format, code to process the data and further datasets on the WUGsite. Please find more information on the provided data in the papers referenced below. The annotation was funded by ANID FONDECYT grant 11200290, U-Inicia VID Project UI-004/20, ANID - Millennium Science Initiative Program - Code ICN17 002 and SemRel Group (DFG Grants SCHU 2580/1 and SCHU 2580/2). Version: 4.0.2, 7.1.2025. Full data. Quoting issues in uses resolved. Target word and target sentence indices corrected. One corrected context for word 'metro'. Judgments anonymized. Annotator 'gecsa' removed. Issues with special characters in filenames resolved. Additional removal of wrongly copied graphs. Reference Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg. 2022. LSCDiscovery: A shared task on semantic change discovery and detection in Spanish. In Proceedings of the 3rd International Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics. Dominik Schlechtweg, Tejaswi Choppa, Wei Zhao, Michael Roth. 2025. The CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments. In Proceedings of the 1st Workshop on Context and Meaning--Navigating Disagreements in NLP Annotations.

Quoting issues in uses resolved. Target word and target sentence indices corrected. One corrected context for word 'metro'. Judgments anonymized. Annotator 'gecsa' removed. Issues with special characters in filenames resolved. Additional removal of wrongly copied graphs.

Related Organizations
Keywords

graded word meaning annotation, diachronic usage relatedness, semantic change, word usage graphs

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citations
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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.
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influence
This indicator 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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impulse
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