{"slug": "adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and", "title": "AdaptLinker at KnowledgeGraphEval 2026: Cross-Domain Arabic Named Entity Recognition with Adversarial and Self-Training", "summary": "Team AdaptLinker, represented by Quan Hoang Ho and Thìn Đặng Văn, ranked 6th in the AdaptNER shared task Subtask 1 (Cross-Domain Named Entity Recognition) at KnowledgeGraphEval 2026, reporting a Micro F1 of 73.29% and Macro F1 of 63.37% on the official blinded test set, per the paper published in the Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks (pages 1195–1199, Budapest, Hungary, Association for Computational Linguistics). The system's Precision was 75.48% and Recall 71.21%, beating the shared-task baseline of 62.2% Micro F1. The approach built on an AraBERT backbone combined 21 parallel linear classifiers for nested entities, a Domain Adversarial Neural Network with a Gradient Reversal Layer, confidence-gated pseudo-labeling on unlabeled target text, and Stochastic Weight Averaging to handle domain shift across 10 unseen target domains.", "body_md": "##### Abstract\n\nThis 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\n- Anthology ID:\n- 2026.arabicnlp-sharedtasks.149\n- Volume:\n- [Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks](https://aclanthology.org/volumes/2026.arabicnlp-sharedtasks/)\n- Month:\n- October\n- Year:\n- 2026\n- Address:\n- Budapest, Hungary\n- Editors:\n- [Muhammad Abdul-Mageed](https://aclanthology.org/people/muhammad-abdul-mageed/) ,[Tamer Elsayed](https://aclanthology.org/people/tamer-elsayed/) ,[Houda Bouamor](https://aclanthology.org/people/houda-bouamor/unverified/) ,[Samhaa El-Beltagy](https://aclanthology.org/people/samhaa-r-el-beltagy/) ,[Hend Al-Khalifa](https://aclanthology.org/people/hend-al-khalifa/) ,[Ahmed Abdelali](https://aclanthology.org/people/ahmed-abdelali/unverified/) ,[AbdelRahim Elmadany](https://aclanthology.org/people/abdelrahim-elmadany/unverified/) ,[Abdellah El Mekki](https://aclanthology.org/people/abdellah-el-mekki/) ,[Kareem Darwish](https://aclanthology.org/people/kareem-darwish/) ,[Sakhar Alkhereyf](https://aclanthology.org/people/sakhar-alkhereyf/) ,[Hamzah Luqman](https://aclanthology.org/people/hamzah-luqman/) ,[Salam Khalifa](https://aclanthology.org/people/salam-khalifa/) ,[Samar Magdy](https://aclanthology.org/people/samar-magdy/unverified/) ,[Zaid Alyafeai](https://aclanthology.org/people/zaid-alyafeai/) ,[Injy Hamed](https://aclanthology.org/people/injy-hamed/unverified/) ,[Wajdi Zaghouani](https://aclanthology.org/people/wajdi-zaghouani/) ,[Imed Zitouni](https://aclanthology.org/people/imed-zitouni/unverified/)\n- Venue:\n- [ArabicNLP](https://aclanthology.org/venues/arabicnlp/)\n- SIG:\n- [SIGARAB](https://aclanthology.org/sigs/sigarab/)\n- Publisher:\n- Association for Computational Linguistics\n- Note:\n- Pages:\n- 1195–1199\n- Language:\n- URL:\n- [https://aclanthology.org/2026.arabicnlp-sharedtasks.149/](https://aclanthology.org/2026.arabicnlp-sharedtasks.149/)\n- DOI:\n- Cite (ACL):\n- Quan Hoang Ho and Thìn Đặng Văn. 2026. [AdaptLinker at KnowledgeGraphEval 2026: Cross-Domain Arabic Named Entity Recognition with Adversarial and Self-Training](https://aclanthology.org/2026.arabicnlp-sharedtasks.149/) . In*Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks* , pages 1195–1199, Budapest, Hungary. Association for Computational Linguistics.\n- Cite (Informal):\n- [AdaptLinker at KnowledgeGraphEval 2026: Cross-Domain Arabic Named Entity Recognition with Adversarial and Self-Training](https://aclanthology.org/2026.arabicnlp-sharedtasks.149/) (Ho & Văn, ArabicNLP 2026)\n- PDF:\n- [https://aclanthology.org/2026.arabicnlp-sharedtasks.149.pdf](https://aclanthology.org/2026.arabicnlp-sharedtasks.149.pdf)", "url": "https://wpnews.pro/news/adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and", "canonical_source": "https://aclanthology.org/2026.arabicnlp-sharedtasks.149/", "published_at": "2026-10-23 00:00:00+00:00", "updated_at": "2026-10-24 07:45:28.672356+00:00", "lang": "en", "topics": ["natural-language-processing", "machine-learning", "ai-research"], "entities": ["AdaptLinker", "Quan Hoang Ho", "Thìn Đặng Văn", "KnowledgeGraphEval 2026", "AdaptNER", "AraBERT", "Association for Computational Linguistics", "ArabicNLP"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and", "markdown": "https://wpnews.pro/news/adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and.md", "text": "https://wpnews.pro/news/adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and.txt", "jsonld": "https://wpnews.pro/news/adaptlinker-at-knowledgegrapheval-2026-cross-domain-arabic-named-entity-with-and.jsonld"}}