@inproceedings{mohaisen-2026-bme,
title = "{BME}-Daleel at Daleel 2026: Joint Modeling, Structured Decoding, and Domain-Routed Ensembles for {A}rabic Argument Units",
author = "Mohaisen, Mohammed",
editor = "Abdul-Mageed, Muhammad and
Elsayed, Tamer and
Bouamor, Houda and
El-Beltagy, Samhaa and
Al-Khalifa, Hend and
Abdelali, Ahmed and
Elmadany, AbdelRahim and
El Mekki, Abdellah and
Darwish, Kareem and
Alkhereyf, Sakhar and
Luqman, Hamzah and
Khalifa, Salam and
Magdy, Samar and
Alyafeai, Zaid and
Hamed, Injy and
Zaghouani, Wajdi and
Zitouni, Imed",
booktitle = "Proceedings of The Fourth {A}rabic Natural Language Processing Conference: Shared Tasks",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.arabicnlp-sharedtasks.162/",
pages = "1299--1303",
ISBN = "979-8-89176-497-2",
abstract = "We present BME-Daleel, our system for both Daleel 2026 Arabic argumentative discourse mining tasks. A joint Transformer predicts paragraph-level label presence and token-level BIO states; constrained decoding and domain-routed ensembles map spans to original character coordinates. Repeated out-of-fold comparisons gate domain specialists, while routing selected decoded outputs preserves other-genre rows exactly. Using organizer annotations and public pretrained models, our Closed-track system scores 0.7117 macro-F1 for paragraph classification and 0.7547 modified F1 for span detection."
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<abstract>We present BME-Daleel, our system for both Daleel 2026 Arabic argumentative discourse mining tasks. A joint Transformer predicts paragraph-level label presence and token-level BIO states; constrained decoding and domain-routed ensembles map spans to original character coordinates. Repeated out-of-fold comparisons gate domain specialists, while routing selected decoded outputs preserves other-genre rows exactly. Using organizer annotations and public pretrained models, our Closed-track system scores 0.7117 macro-F1 for paragraph classification and 0.7547 modified F1 for span detection.</abstract>
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%0 Conference Proceedings
%T BME-Daleel at Daleel 2026: Joint Modeling, Structured Decoding, and Domain-Routed Ensembles for Arabic Argument Units
%A Mohaisen, Mohammed
%Y Abdul-Mageed, Muhammad
%Y Elsayed, Tamer
%Y Bouamor, Houda
%Y El-Beltagy, Samhaa
%Y Al-Khalifa, Hend
%Y Abdelali, Ahmed
%Y Elmadany, AbdelRahim
%Y El Mekki, Abdellah
%Y Darwish, Kareem
%Y Alkhereyf, Sakhar
%Y Luqman, Hamzah
%Y Khalifa, Salam
%Y Magdy, Samar
%Y Alyafeai, Zaid
%Y Hamed, Injy
%Y Zaghouani, Wajdi
%Y Zitouni, Imed
%S Proceedings of The Fourth Arabic Natural Language Processing Conference: Shared Tasks
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-497-2
%F mohaisen-2026-bme
%X We present BME-Daleel, our system for both Daleel 2026 Arabic argumentative discourse mining tasks. A joint Transformer predicts paragraph-level label presence and token-level BIO states; constrained decoding and domain-routed ensembles map spans to original character coordinates. Repeated out-of-fold comparisons gate domain specialists, while routing selected decoded outputs preserves other-genre rows exactly. Using organizer annotations and public pretrained models, our Closed-track system scores 0.7117 macro-F1 for paragraph classification and 0.7547 modified F1 for span detection.
%U https://aclanthology.org/2026.arabicnlp-sharedtasks.162/
%P 1299-1303
Markdown (Informal)
[BME-Daleel at Daleel 2026: Joint Modeling, Structured Decoding, and Domain-Routed Ensembles for Arabic Argument Units](https://aclanthology.org/2026.arabicnlp-sharedtasks.162/) (Mohaisen, ArabicNLP 2026)
ACL