Nagham Hamad
2024
WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task
Mustafa Jarrar
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Nagham Hamad
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Mohammed Khalilia
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Bashar Talafha
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AbdelRahim Elmadany
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Muhammad Abdul-Mageed
Proceedings of The Second Arabic Natural Language Processing Conference
We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants with a new Arabic fine-grained NER dataset called Wojoodfine, annotated with subtypes of entities. WojoodNER-2024 encompassed three subtasks: (i) Closed-Track Flat Fine-Grained NER, (ii) Closed-Track Nested Fine-Grained NER, and (iii) an Open-Track NER for the Israeli War on Gaza. A total of 43 unique teams registered for this shared task. Five teams participated in the Flat Fine-Grained Subtask, among which two teams tackled the Nested Fine-Grained Subtask and one team participated in the Open-Track NER Subtask. The winning teams achieved F1 scores of 91% and 92% in the Flat Fine-Grained and Nested Fine-Grained Subtasks, respectively. The sole team in the Open-Track Subtask achieved an F1 score of 73.7%.
2023
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
Mustafa Jarrar
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Muhammad Abdul-Mageed
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Mohammed Khalilia
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Bashar Talafha
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AbdelRahim Elmadany
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Nagham Hamad
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Alaa’ Omar
Proceedings of ArabicNLP 2023
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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