WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task

Mustafa Jarrar, Nagham Hamad, Mohammed Khalilia, Bashar Talafha, AbdelRahim Elmadany +1 more
7/13/2024
cs.CLcs.AI

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Abstract

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 F-1 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 F-1 score of 73.7%.

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Cite this paper

@article{jarrar2024wojoodner,
  title  = {WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task},
  author = {Mustafa Jarrar and Nagham Hamad and Mohammed Khalilia and Bashar Talafha and AbdelRahim Elmadany and Muhammad Abdul-Mageed},
  year   = {2024},
  eprint = {2407.09936},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2407.09936v1}
}

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