@inproceedings{zabokrtsky-etal-2023-findings,
title = "Findings of the Second Shared Task on Multilingual Coreference Resolution",
author = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k and
Konopik, Miloslav and
Nedoluzhko, Anna and
Nov{\'a}k, Michal and
Ogrodniczuk, Maciej and
Popel, Martin and
Prazak, Ondrej and
Sido, Jakub and
Zeman, Daniel",
editor = "{\v{Z}}abokrtsk{\'y}, Zden{\v{e}}k and
Ogrodniczuk, Maciej",
booktitle = "Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.crac-sharedtask.1",
doi = "10.18653/v1/2023.crac-sharedtask.1",
pages = "1--18",
abstract = "This paper summarizes the second edition of the shared task on multilingual coreference resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared task were to create trainable systems that detect mentions and group them based on identity coreference; however, this year{'}s edition uses a slightly different primary evaluation score, and is also broader in terms of covered languages: version 1.1 of the multilingual collection of harmonized coreference resources CorefUD was used as the source of training and evaluation data this time, with 17 datasets for 12 languages. 7 systems competed in this shared task.",
}
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<abstract>This paper summarizes the second edition of the shared task on multilingual coreference resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared task were to create trainable systems that detect mentions and group them based on identity coreference; however, this year’s edition uses a slightly different primary evaluation score, and is also broader in terms of covered languages: version 1.1 of the multilingual collection of harmonized coreference resources CorefUD was used as the source of training and evaluation data this time, with 17 datasets for 12 languages. 7 systems competed in this shared task.</abstract>
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%0 Conference Proceedings
%T Findings of the Second Shared Task on Multilingual Coreference Resolution
%A Žabokrtský, Zdeněk
%A Konopik, Miloslav
%A Nedoluzhko, Anna
%A Novák, Michal
%A Ogrodniczuk, Maciej
%A Popel, Martin
%A Prazak, Ondrej
%A Sido, Jakub
%A Zeman, Daniel
%Y Žabokrtský, Zdeněk
%Y Ogrodniczuk, Maciej
%S Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F zabokrtsky-etal-2023-findings
%X This paper summarizes the second edition of the shared task on multilingual coreference resolution, held with the CRAC 2023 workshop. Just like last year, participants of the shared task were to create trainable systems that detect mentions and group them based on identity coreference; however, this year’s edition uses a slightly different primary evaluation score, and is also broader in terms of covered languages: version 1.1 of the multilingual collection of harmonized coreference resources CorefUD was used as the source of training and evaluation data this time, with 17 datasets for 12 languages. 7 systems competed in this shared task.
%R 10.18653/v1/2023.crac-sharedtask.1
%U https://aclanthology.org/2023.crac-sharedtask.1
%U https://doi.org/10.18653/v1/2023.crac-sharedtask.1
%P 1-18
Markdown (Informal)
[Findings of the Second Shared Task on Multilingual Coreference Resolution](https://aclanthology.org/2023.crac-sharedtask.1) (Žabokrtský et al., CRAC-WS 2023)
ACL
- Zdeněk Žabokrtský, Miloslav Konopik, Anna Nedoluzhko, Michal Novák, Maciej Ogrodniczuk, Martin Popel, Ondrej Prazak, Jakub Sido, and Daniel Zeman. 2023. Findings of the Second Shared Task on Multilingual Coreference Resolution. In Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution, pages 1–18, Singapore. Association for Computational Linguistics.