@inproceedings{rani-etal-2023-findings,
title = "Findings of the {SIGTYP} 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages",
author = "Rani, Priya and
Goswami, Koustava and
Doyle, Adrian and
Fransen, Theodorus and
Stearns, Bernardo and
McCrae, John P.",
editor = "Beinborn, Lisa and
Goswami, Koustava and
Murado{\u{g}}lu, Saliha and
Sorokin, Alexey and
Kumar, Ritesh and
Shcherbakov, Andreas and
Ponti, Edoardo M. and
Cotterell, Ryan and
Vylomova, Ekaterina",
booktitle = "Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP",
month = may,
year = "2023",
address = "Dubrovnik, Croatia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.sigtyp-1.13",
doi = "10.18653/v1/2023.sigtyp-1.13",
pages = "126--131",
abstract = "This paper describes the structure and findings of the SIGTYP 2023 shared task on cognate and derivative detection for low-resourced languages, broken down into a supervised and unsupervised sub-task. The participants were asked to submit the test data{'}s final prediction. A total of nine teams registered for the shared task where seven teams registered for both sub-tasks. Only two participants ended up submitting system descriptions, with only one submitting systems for both sub-tasks. While all systems show a rather promising performance, all could be within the baseline score for the supervised sub-task. However, the system submitted for the unsupervised sub-task outperforms the baseline score.",
}
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%0 Conference Proceedings
%T Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages
%A Rani, Priya
%A Goswami, Koustava
%A Doyle, Adrian
%A Fransen, Theodorus
%A Stearns, Bernardo
%A McCrae, John P.
%Y Beinborn, Lisa
%Y Goswami, Koustava
%Y Muradoğlu, Saliha
%Y Sorokin, Alexey
%Y Kumar, Ritesh
%Y Shcherbakov, Andreas
%Y Ponti, Edoardo M.
%Y Cotterell, Ryan
%Y Vylomova, Ekaterina
%S Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
%D 2023
%8 May
%I Association for Computational Linguistics
%C Dubrovnik, Croatia
%F rani-etal-2023-findings
%X This paper describes the structure and findings of the SIGTYP 2023 shared task on cognate and derivative detection for low-resourced languages, broken down into a supervised and unsupervised sub-task. The participants were asked to submit the test data’s final prediction. A total of nine teams registered for the shared task where seven teams registered for both sub-tasks. Only two participants ended up submitting system descriptions, with only one submitting systems for both sub-tasks. While all systems show a rather promising performance, all could be within the baseline score for the supervised sub-task. However, the system submitted for the unsupervised sub-task outperforms the baseline score.
%R 10.18653/v1/2023.sigtyp-1.13
%U https://aclanthology.org/2023.sigtyp-1.13
%U https://doi.org/10.18653/v1/2023.sigtyp-1.13
%P 126-131
Markdown (Informal)
[Findings of the SIGTYP 2023 Shared task on Cognate and Derivative Detection For Low-Resourced Languages](https://aclanthology.org/2023.sigtyp-1.13) (Rani et al., SIGTYP 2023)
ACL