Overview of NLPCC2022 Shared Task 5 Track 2: Named Entity Recognition

Cai, Borui; Zhang, He; Liu, Fenghong; Liu, Ming; Zong, Tianrui; Chen, Zhe; Li, Yunfeng

doi:10.1007/978-3-031-17189-5_30

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2022

2023

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“…Shared tasks. While there are multiple shared tasks for NER in various languages and domains, such as the MultiCoNER for multilingual complex NER (Malmasi et al, 2022), the HIPE-2022 for NER and linking in multilingual historical documents (Ehrmann et al, 2022), the RuNNE-2022 for nested NER in Russian (Artemova et al, 2022), and the NLPCC2022 for extracting entities in the material science domain (Cai et al, 2022). To the best of our knowledge, there has been no dedicated shared task for Arabic NER.…”

Section: Literature Reviewmentioning

confidence: 99%

WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task

Jarrar,

Abdul-Mageed,

Khalilia

et al. 2023

Proceedings of ArabicNLP 2023

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We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER 2023 is on Arabic NER, offering 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 teams achieved F 1 scores of 91.96 and 93.73 in Flat-NER and NestedNER, respectively.

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Section: Literature Reviewmentioning

confidence: 99%