Arabic Named Entity Recognition with a CRF Model Based on Transformer Architecture

Al‐Qurishi, Muhammad; Souissi, Riad; Al-Qaseemi, Sarah

doi:10.1007/978-3-031-11035-1_9

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2023

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“…In this context, the focus of Arabic NLP has predominantly revolved around flat entities (Liu et al, 2019;Helwe et al, 2020;Al-Qurishi and Souissi, 2021;El Khbir et al, 2022;Affi and Latiri, 2022), and the exploration of nested entity recognition in Arabic NLP has been relatively limited, primarily due to the scarcity of suitable nested Arabic datasets.…”

Section: Introductionmentioning

confidence: 99%

LIPN at WojoodNER shared task: A Span-Based Approach for Flat and Nested Arabic Named Entity Recognition

Elkhbir,

Zaratiana,

Tomeh

et al. 2023

Proceedings of ArabicNLP 2023

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The Wojood Named Entity Recognition (NER) shared task introduces a comprehensive Arabic NER dataset encompassing both flat and nested entity tasks, addressing the challenge of limited Arabic resources. In this paper, we present our team LIPN approach to addressing the two subtasks of WojoodNER Shared-Task. We frame NER as a span classification problem. We employ a pretrained language model for token representations and neural network classifiers. We use global decoding for flat NER and a greedy strategy for nested NER. Our model secured the first position in flat NER and the fourth position in nested NER during the competition, with an F-score of 91.96 and 92.45 respectively. Our code is publicly available (https://github.com/niamaelkhbir/ LIPN-at-WojoodSharedTask).

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