@inproceedings{jarrar-etal-2023-wojoodner,
title = "{W}ojood{NER} 2023: The First {A}rabic Named Entity Recognition Shared Task",
author = "Jarrar, Mustafa and
Abdul-Mageed, Muhammad and
Khalilia, Mohammed and
Talafha, Bashar and
Elmadany, AbdelRahim and
Hamad, Nagham and
Omar, Alaa{'}",
editor = "Sawaf, Hassan and
El-Beltagy, Samhaa and
Zaghouani, Wajdi and
Magdy, Walid and
Abdelali, Ahmed and
Tomeh, Nadi and
Abu Farha, Ibrahim and
Habash, Nizar and
Khalifa, Salam and
Keleg, Amr and
Haddad, Hatem and
Zitouni, Imed and
Mrini, Khalil and
Almatham, Rawan",
booktitle = "Proceedings of ArabicNLP 2023",
month = dec,
year = "2023",
address = "Singapore (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.arabicnlp-1.83/",
doi = "10.18653/v1/2023.arabicnlp-1.83",
pages = "748--758",
abstract = "We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER 2023 is on Arabic NER, offering a novel NER datasets (i.e., Wojood) and the definition of subtasks designed to facilitate meaningful comparisons between different NER approaches. WojoodNER-2023 encompassed two Subtasks: FlatNER and NestedNER. A total of 45 unique teams registered for this shared task, with 11 of them actively participating in the test phase. Specifically, 11 teams participated in FlatNER, while 8 teams tackled NestedNER. The winning team achieved F1 score of 91.96 and 93.73 in FlatNER and NestedNER respectively."
}
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<abstract>We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER 2023 is on Arabic NER, offering a novel NER datasets (i.e., Wojood) and the definition of subtasks designed to facilitate meaningful comparisons between different NER approaches. WojoodNER-2023 encompassed two Subtasks: FlatNER and NestedNER. A total of 45 unique teams registered for this shared task, with 11 of them actively participating in the test phase. Specifically, 11 teams participated in FlatNER, while 8 teams tackled NestedNER. The winning team achieved F1 score of 91.96 and 93.73 in FlatNER and NestedNER respectively.</abstract>
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%0 Conference Proceedings
%T WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
%A Jarrar, Mustafa
%A Abdul-Mageed, Muhammad
%A Khalilia, Mohammed
%A Talafha, Bashar
%A Elmadany, AbdelRahim
%A Hamad, Nagham
%A Omar, Alaa’
%Y Sawaf, Hassan
%Y El-Beltagy, Samhaa
%Y Zaghouani, Wajdi
%Y Magdy, Walid
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Abu Farha, Ibrahim
%Y Habash, Nizar
%Y Khalifa, Salam
%Y Keleg, Amr
%Y Haddad, Hatem
%Y Zitouni, Imed
%Y Mrini, Khalil
%Y Almatham, Rawan
%S Proceedings of ArabicNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore (Hybrid)
%F jarrar-etal-2023-wojoodner
%X We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER 2023 is on Arabic NER, offering a novel NER datasets (i.e., Wojood) and the definition of subtasks designed to facilitate meaningful comparisons between different NER approaches. WojoodNER-2023 encompassed two Subtasks: FlatNER and NestedNER. A total of 45 unique teams registered for this shared task, with 11 of them actively participating in the test phase. Specifically, 11 teams participated in FlatNER, while 8 teams tackled NestedNER. The winning team achieved F1 score of 91.96 and 93.73 in FlatNER and NestedNER respectively.
%R 10.18653/v1/2023.arabicnlp-1.83
%U https://aclanthology.org/2023.arabicnlp-1.83/
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.83
%P 748-758
Markdown (Informal)
[WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task](https://aclanthology.org/2023.arabicnlp-1.83/) (Jarrar et al., ArabicNLP 2023)
ACL