@inproceedings{elkordi-etal-2023-alexu,
title = "{A}lex{U}-{AIC} at {W}ojood{NER} shared task: Sequence Labeling vs {MRC} and {SWA} for {A}rabic Named Entity Recognition",
author = "Elkordi, Shereen and
Adly, Noha and
Torki, Marwan",
editor = "Sawaf, Hassan and
El-Beltagy, Samhaa and
Zaghouani, Wajdi and
Magdy, Walid and
Abdelali, Ahmed and
Tomeh, Nadi and
Abu Farha, Ibrahim and
Habash, Nizar and
Khalifa, Salam and
Keleg, Amr and
Haddad, Hatem and
Zitouni, Imed and
Mrini, Khalil and
Almatham, Rawan",
booktitle = "Proceedings of ArabicNLP 2023",
month = dec,
year = "2023",
address = "Singapore (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.arabicnlp-1.86",
doi = "10.18653/v1/2023.arabicnlp-1.86",
pages = "771--776",
abstract = "Named entity recognition (NER) is one of many challenging tasks in Arabic Natural Language Processing. It is also the base of many critical downstream tasks to help understand the source of major trends and public opinion. In this paper, we will describe our submission in the NER Shared Task of ArabicNLP 2023. We used a simple machine reading comprehension-based technique in the Flat NER Subtask ranking eighth on the leaderboard, while we fine-tuned a language model for the Nested NER Subtask ranking third on the leaderboard.",
}
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<abstract>Named entity recognition (NER) is one of many challenging tasks in Arabic Natural Language Processing. It is also the base of many critical downstream tasks to help understand the source of major trends and public opinion. In this paper, we will describe our submission in the NER Shared Task of ArabicNLP 2023. We used a simple machine reading comprehension-based technique in the Flat NER Subtask ranking eighth on the leaderboard, while we fine-tuned a language model for the Nested NER Subtask ranking third on the leaderboard.</abstract>
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%0 Conference Proceedings
%T AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition
%A Elkordi, Shereen
%A Adly, Noha
%A Torki, Marwan
%Y Sawaf, Hassan
%Y El-Beltagy, Samhaa
%Y Zaghouani, Wajdi
%Y Magdy, Walid
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Abu Farha, Ibrahim
%Y Habash, Nizar
%Y Khalifa, Salam
%Y Keleg, Amr
%Y Haddad, Hatem
%Y Zitouni, Imed
%Y Mrini, Khalil
%Y Almatham, Rawan
%S Proceedings of ArabicNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore (Hybrid)
%F elkordi-etal-2023-alexu
%X Named entity recognition (NER) is one of many challenging tasks in Arabic Natural Language Processing. It is also the base of many critical downstream tasks to help understand the source of major trends and public opinion. In this paper, we will describe our submission in the NER Shared Task of ArabicNLP 2023. We used a simple machine reading comprehension-based technique in the Flat NER Subtask ranking eighth on the leaderboard, while we fine-tuned a language model for the Nested NER Subtask ranking third on the leaderboard.
%R 10.18653/v1/2023.arabicnlp-1.86
%U https://aclanthology.org/2023.arabicnlp-1.86
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.86
%P 771-776
Markdown (Informal)
[AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition](https://aclanthology.org/2023.arabicnlp-1.86) (Elkordi et al., ArabicNLP-WS 2023)
ACL