WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| author | Jarrar, Mustafa Hamad, Nagham Khalilia, Mohammed Talafha, Bashar Elmadany, AbdelRahim Abdul-Mageed, Muhammad |
| author_facet | Jarrar, Mustafa Hamad, Nagham Khalilia, Mohammed Talafha, Bashar Elmadany, AbdelRahim Abdul-Mageed, Muhammad |
| contents | 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%. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_09936 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task Jarrar, Mustafa Hamad, Nagham Khalilia, Mohammed Talafha, Bashar Elmadany, AbdelRahim Abdul-Mageed, Muhammad Computation and Language Artificial Intelligence 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%. |
| title | WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2407.09936 |