DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg; Nina Tahmasebi; Simon Hengchen; Haim Dubossarsky; Barbara McGillivray

EMNLP 2021main58 citations

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages

Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray

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.

BibTeX

@inproceedings{schlechtweg-etal-2021-dwug,
    title = "{DWUG}: A large Resource of Diachronic Word Usage Graphs in Four Languages",
    author = "Schlechtweg, Dominik  and
      Tahmasebi, Nina  and
      Hengchen, Simon  and
      Dubossarsky, Haim  and
      McGillivray, Barbara",
    editor = "Moens, Marie-Francine  and
      Huang, Xuanjing  and
      Specia, Lucia  and
      Yih, Scott Wen-tau",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.emnlp-main.567/",
    doi = "10.18653/v1/2021.emnlp-main.567",
    pages = "7079--7091"
}