@inproceedings{d-zamora-reina-etal-2022-black,
title = "{LSCD}iscovery: A shared task on semantic change discovery and detection in {S}panish",
author = "Zamora-Reina, Frank D. and
Bravo-Marquez, Felipe and
Schlechtweg, Dominik",
editor = "Tahmasebi, Nina and
Montariol, Syrielle and
Kutuzov, Andrey and
Hengchen, Simon and
Dubossarsky, Haim and
Borin, Lars",
booktitle = "Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.lchange-1.16",
doi = "10.18653/v1/2022.lchange-1.16",
pages = "149--164",
abstract = "We present the first shared task on semantic change discovery and detection in Spanish. We create the first dataset of Spanish words manually annotated by semantic change using the DURel framewok (Schlechtweg et al., 2018). The task is divided in two phases: 1) graded change discovery, and 2) binary change detection. In addition to introducing a new language for this task, the main novelty with respect to the previous tasks consists in predicting and evaluating changes for all vocabulary words in the corpus. Six teams participated in phase 1 and seven teams in phase 2 of the shared task, and the best system obtained a Spearman rank correlation of 0.735 for phase 1 and an F1 score of 0.735 for phase 2. We describe the systems developed by the competing teams, highlighting the techniques that were particularly useful.",
}
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%0 Conference Proceedings
%T LSCDiscovery: A shared task on semantic change discovery and detection in Spanish
%A Zamora-Reina, Frank D.
%A Bravo-Marquez, Felipe
%A Schlechtweg, Dominik
%Y Tahmasebi, Nina
%Y Montariol, Syrielle
%Y Kutuzov, Andrey
%Y Hengchen, Simon
%Y Dubossarsky, Haim
%Y Borin, Lars
%S Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F d-zamora-reina-etal-2022-black
%X We present the first shared task on semantic change discovery and detection in Spanish. We create the first dataset of Spanish words manually annotated by semantic change using the DURel framewok (Schlechtweg et al., 2018). The task is divided in two phases: 1) graded change discovery, and 2) binary change detection. In addition to introducing a new language for this task, the main novelty with respect to the previous tasks consists in predicting and evaluating changes for all vocabulary words in the corpus. Six teams participated in phase 1 and seven teams in phase 2 of the shared task, and the best system obtained a Spearman rank correlation of 0.735 for phase 1 and an F1 score of 0.735 for phase 2. We describe the systems developed by the competing teams, highlighting the techniques that were particularly useful.
%R 10.18653/v1/2022.lchange-1.16
%U https://aclanthology.org/2022.lchange-1.16
%U https://doi.org/10.18653/v1/2022.lchange-1.16
%P 149-164
Markdown (Informal)
[LSCDiscovery: A shared task on semantic change discovery and detection in Spanish](https://aclanthology.org/2022.lchange-1.16) (Zamora-Reina et al., LChange 2022)
ACL