Abstract
This paper presents the submission of team AdaptLinker to the AdaptNER shared task (Subtask 1: Cross-Domain Named Entity Recognition) at KnowledgeGraphEval 2026. To address nested entities and domain shift across 10 unseen target domains, we propose a multi-head token classification framework built on the AraBERT backbone. Our approach inte- grates: (1) 21 parallel linear classifiers to pre- dict overlapping named entities; (2) a Domain Adversarial Neural Network (DANN) using a Gradient Reversal Layer (GRL) to align feature spaces; (3) confidence-gated pseudo-labeling on unlabeled target text; and (4) Stochastic Weight Averaging (SWA). Our final system achieved a Precision of 75.48%, Recall of 71.21%, a Micro F1 of 73.29%, and a Macro F1 of 63.37% on the official blinded test set, outperforming the shared-task baseline (0.7329 vs. 0.622 Micro F1) and ranking 6th out of all participating teams
- Anthology ID:
- 2026.arabicnlp-sharedtasks.149
- Volume:
- [Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks](https://aclanthology.org/volumes/2026.arabicnlp-sharedtasks/)
- Month:
- October
- Year:
- 2026
- Address:
- Budapest, Hungary
- Editors:
- Muhammad Abdul-Mageed ,Tamer Elsayed ,Houda Bouamor ,Samhaa El-Beltagy ,Hend Al-Khalifa ,Ahmed Abdelali ,AbdelRahim Elmadany ,Abdellah El Mekki ,Kareem Darwish ,Sakhar Alkhereyf ,Hamzah Luqman ,Salam Khalifa ,Samar Magdy ,Zaid Alyafeai ,Injy Hamed ,Wajdi Zaghouani ,Imed Zitouni
- Venue:
- [ArabicNLP](https://aclanthology.org/venues/arabicnlp/)
- SIG:
- [SIGARAB](https://aclanthology.org/sigs/sigarab/)
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1195–1199
- Language:
- URL:
- [https://aclanthology.org/2026.arabicnlp-sharedtasks.149/](https://aclanthology.org/2026.arabicnlp-sharedtasks.149/)
- DOI:
- Cite (ACL):
- Quan Hoang Ho and Thìn Đặng Văn. 2026. AdaptLinker at KnowledgeGraphEval 2026: Cross-Domain Arabic Named Entity Recognition with Adversarial and Self-Training . InProceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks , pages 1195–1199, Budapest, Hungary. Association for Computational Linguistics.
- Cite (Informal):
- AdaptLinker at KnowledgeGraphEval 2026: Cross-Domain Arabic Named Entity Recognition with Adversarial and Self-Training (Ho & Văn, ArabicNLP 2026)
- PDF:
- [https://aclanthology.org/2026.arabicnlp-sharedtasks.149.pdf](https://aclanthology.org/2026.arabicnlp-sharedtasks.149.pdf)