@inproceedings{bashendy-etal-2025-taqeem,
title = "{TAQEEM} 2025: Overview of The First Shared Task for {A}rabic Quality Evaluation of Essays in Multi-dimensions",
author = "Bashendy, May and
Albatarni, Salam and
Eltanbouly, Sohaila and
Massoud, Walid and
Bouamor, Houda and
Elsayed, Tamer",
editor = "Darwish, Kareem and
Ali, Ahmed and
Abu Farha, Ibrahim and
Touileb, Samia and
Zitouni, Imed and
Abdelali, Ahmed and
Al-Ghamdi, Sharefah and
Alkhereyf, Sakhar and
Zaghouani, Wajdi and
Khalifa, Salam and
AlKhamissi, Badr and
Almatham, Rawan and
Hamed, Injy and
Alyafeai, Zaid and
Alowisheq, Areeb and
Inoue, Go and
Mrini, Khalil and
Alshammari, Waad",
booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.arabicnlp-sharedtasks.134/",
pages = "966--976",
ISBN = "979-8-89176-356-2",
abstract = "Automated Essay Scoring (AES) has emerged as a significant research problem in natural language processing, offering valuable tools to support educators in assessing student writing. Motivated by the growing need for reliable Arabic AES systems, we organized the first shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions (TAQEEM) held at the ArabicNLP 2025 conference. TAQEEM 2025 includes two subtasks: Task A on holistic scoring and Task B on trait-specific scoring. It introduces a new (and first of its kind) dataset of 1,265 Arabic essays, annotated with holistic and trait-specific scores, including relevance, organization, vocabulary, style, development, mechanics, and grammar. The main goal of TAQEEM is to address the scarcity of standardized benchmarks and high-quality resources in Arabic AES. TAQEEM 2025 attracted 11 registered teams for Task A and 10 for Task B, with a total of 5 teams, across both tasks, submitting system runs for evaluation. This paper presents an overview of the task, outlines the approaches employed, and discusses the results of the participating teams."
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<abstract>Automated Essay Scoring (AES) has emerged as a significant research problem in natural language processing, offering valuable tools to support educators in assessing student writing. Motivated by the growing need for reliable Arabic AES systems, we organized the first shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions (TAQEEM) held at the ArabicNLP 2025 conference. TAQEEM 2025 includes two subtasks: Task A on holistic scoring and Task B on trait-specific scoring. It introduces a new (and first of its kind) dataset of 1,265 Arabic essays, annotated with holistic and trait-specific scores, including relevance, organization, vocabulary, style, development, mechanics, and grammar. The main goal of TAQEEM is to address the scarcity of standardized benchmarks and high-quality resources in Arabic AES. TAQEEM 2025 attracted 11 registered teams for Task A and 10 for Task B, with a total of 5 teams, across both tasks, submitting system runs for evaluation. This paper presents an overview of the task, outlines the approaches employed, and discusses the results of the participating teams.</abstract>
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%0 Conference Proceedings
%T TAQEEM 2025: Overview of The First Shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions
%A Bashendy, May
%A Albatarni, Salam
%A Eltanbouly, Sohaila
%A Massoud, Walid
%A Bouamor, Houda
%A Elsayed, Tamer
%Y Darwish, Kareem
%Y Ali, Ahmed
%Y Abu Farha, Ibrahim
%Y Touileb, Samia
%Y Zitouni, Imed
%Y Abdelali, Ahmed
%Y Al-Ghamdi, Sharefah
%Y Alkhereyf, Sakhar
%Y Zaghouani, Wajdi
%Y Khalifa, Salam
%Y AlKhamissi, Badr
%Y Almatham, Rawan
%Y Hamed, Injy
%Y Alyafeai, Zaid
%Y Alowisheq, Areeb
%Y Inoue, Go
%Y Mrini, Khalil
%Y Alshammari, Waad
%S Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-356-2
%F bashendy-etal-2025-taqeem
%X Automated Essay Scoring (AES) has emerged as a significant research problem in natural language processing, offering valuable tools to support educators in assessing student writing. Motivated by the growing need for reliable Arabic AES systems, we organized the first shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions (TAQEEM) held at the ArabicNLP 2025 conference. TAQEEM 2025 includes two subtasks: Task A on holistic scoring and Task B on trait-specific scoring. It introduces a new (and first of its kind) dataset of 1,265 Arabic essays, annotated with holistic and trait-specific scores, including relevance, organization, vocabulary, style, development, mechanics, and grammar. The main goal of TAQEEM is to address the scarcity of standardized benchmarks and high-quality resources in Arabic AES. TAQEEM 2025 attracted 11 registered teams for Task A and 10 for Task B, with a total of 5 teams, across both tasks, submitting system runs for evaluation. This paper presents an overview of the task, outlines the approaches employed, and discusses the results of the participating teams.
%U https://aclanthology.org/2025.arabicnlp-sharedtasks.134/
%P 966-976
Markdown (Informal)
[TAQEEM 2025: Overview of The First Shared Task for Arabic Quality Evaluation of Essays in Multi-dimensions](https://aclanthology.org/2025.arabicnlp-sharedtasks.134/) (Bashendy et al., ArabicNLP 2025)
ACL