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.- Anthology ID:
- 2023.arabicnlp-1.86
- Volume:
- Proceedings of ArabicNLP 2023
- Month:
- December
- Year:
- 2023
- Address:
- Singapore (Hybrid)
- Editors:
- Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
- Venues:
- ArabicNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 771–776
- Language:
- URL:
- https://aclanthology.org/2023.arabicnlp-1.86
- DOI:
- 10.18653/v1/2023.arabicnlp-1.86
- Cite (ACL):
- Shereen Elkordi, Noha Adly, and Marwan Torki. 2023. AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition. In Proceedings of ArabicNLP 2023, pages 771–776, Singapore (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- AlexU-AIC at WojoodNER shared task: Sequence Labeling vs MRC and SWA for Arabic Named Entity Recognition (Elkordi et al., ArabicNLP-WS 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.arabicnlp-1.86.pdf