@inproceedings{schlechtweg-etal-2020-semeval,
title = "{S}em{E}val-2020 Task 1: Unsupervised Lexical Semantic Change Detection",
author = "Schlechtweg, Dominik and
McGillivray, Barbara and
Hengchen, Simon and
Dubossarsky, Haim and
Tahmasebi, Nina",
editor = "Herbelot, Aurelie and
Zhu, Xiaodan and
Palmer, Alexis and
Schneider, Nathan and
May, Jonathan and
Shutova, Ekaterina",
booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
month = dec,
year = "2020",
address = "Barcelona (online)",
publisher = "International Committee for Computational Linguistics",
url = "https://aclanthology.org/2020.semeval-1.1",
doi = "10.18653/v1/2020.semeval-1.1",
pages = "1--23",
abstract = "Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and linguistics. Evaluation is currently the most pressing problem in Lexical Semantic Change detection, as no gold standards are available to the community, which hinders progress. We present the results of the first shared task that addresses this gap by providing researchers with an evaluation framework and manually annotated, high-quality datasets for English, German, Latin, and Swedish. 33 teams submitted 186 systems, which were evaluated on two subtasks.",
}
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%0 Conference Proceedings
%T SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection
%A Schlechtweg, Dominik
%A McGillivray, Barbara
%A Hengchen, Simon
%A Dubossarsky, Haim
%A Tahmasebi, Nina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y May, Jonathan
%Y Shutova, Ekaterina
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 December
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F schlechtweg-etal-2020-semeval
%X Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and linguistics. Evaluation is currently the most pressing problem in Lexical Semantic Change detection, as no gold standards are available to the community, which hinders progress. We present the results of the first shared task that addresses this gap by providing researchers with an evaluation framework and manually annotated, high-quality datasets for English, German, Latin, and Swedish. 33 teams submitted 186 systems, which were evaluated on two subtasks.
%R 10.18653/v1/2020.semeval-1.1
%U https://aclanthology.org/2020.semeval-1.1
%U https://doi.org/10.18653/v1/2020.semeval-1.1
%P 1-23
Markdown (Informal)
[SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection](https://aclanthology.org/2020.semeval-1.1) (Schlechtweg et al., SemEval 2020)
ACL