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        <namePart type="given">Dominik</namePart>
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            <namePart type="given">Marie-Francine</namePart>
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            <namePart type="given">Xuanjing</namePart>
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            <namePart type="given">Lucia</namePart>
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    <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 describe in detail 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.</abstract>
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%0 Conference Proceedings
%T DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
%A Schlechtweg, Dominik
%A Tahmasebi, Nina
%A Hengchen, Simon
%A Dubossarsky, Haim
%A McGillivray, Barbara
%Y Moens, Marie-Francine
%Y Huang, Xuanjing
%Y Specia, Lucia
%Y Yih, Scott Wen-tau
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F schlechtweg-etal-2021-dwug
%X 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 describe in detail 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.
%R 10.18653/v1/2021.emnlp-main.567
%U https://aclanthology.org/2021.emnlp-main.567
%U https://doi.org/10.18653/v1/2021.emnlp-main.567
%P 7079-7091

Markdown (Informal)

[DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages](https://aclanthology.org/2021.emnlp-main.567) (Schlechtweg et al., EMNLP 2021)

• DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages (Schlechtweg et al., EMNLP 2021)

ACL

• 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.