DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
Abstract
Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of graded contextualized, diachronic word meaning annotation in four different languages, based on 100,000 human semantic proximity judgments. We thoroughly describe the multi-round incremental annotation process, the choice for a clustering algorithm to group usages into senses, and possible - diachronic and synchronic - uses for this dataset.
Keywords
Cite
@article{arxiv.2104.08540,
title = {DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages},
author = {Dominik Schlechtweg and Nina Tahmasebi and Simon Hengchen and Haim Dubossarsky and Barbara McGillivray},
journal= {arXiv preprint arXiv:2104.08540},
year = {2024}
}
Comments
Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, and Barbara McGillivray. 2021. DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 7079--7091, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics