{"id":2,"date":"2026-05-03T08:14:03","date_gmt":"2026-05-03T08:14:03","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/aragenre\/?page_id=2"},"modified":"2026-05-18T03:37:39","modified_gmt":"2026-05-18T03:37:39","slug":"aragenre2026","status":"publish","type":"page","link":"https:\/\/wp.lancs.ac.uk\/aragenre\/","title":{"rendered":"AraGenre 2026"},"content":{"rendered":"<h2 style=\"text-align: center\" data-start=\"0\" data-end=\"82\"><strong>AraGenre: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task<\/strong><\/h2>\n<p style=\"text-align: center\"><span style=\"font-size: 12pt;font-family: helvetica\"><b>Mo El-Haj, Saad Ezzini, Mustafa Jarrar, Shadi Abudalfa<\/b><b><br \/>\n<\/b><a href=\"mailto:m.el-haj@lancaster.ac.uk\"><span style=\"font-weight: 400\">m.el-haj@lancaster.ac.uk<\/span><\/a><span style=\"font-weight: 400\">\u00a0<\/span><\/span><\/p>\n<h2><span style=\"font-size: 12pt\">Registration form: <a href=\"https:\/\/forms.gle\/RAi7SpYoRD5RgUnP6\">https:\/\/forms.gle\/RAi7SpYoRD5RgUnP6<\/a><\/span><\/h2>\n<h2><span style=\"font-size: 12pt\">AraGenre Codabench: <a href=\"https:\/\/www.codabench.org\/competitions\/16356\" target=\"_blank\" rel=\"noopener\">https:\/\/www.codabench.org\/competitions\/16356<\/a><\/span><\/h2>\n<h2>1. Overview<\/h2>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-20 alignleft\" src=\"http:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner.png\" alt=\"\" width=\"569\" height=\"569\" srcset=\"https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner.png 1254w, https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner-300x300.png 300w, https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner-1024x1024.png 1024w, https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner-150x150.png 150w, https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner-768x768.png 768w, https:\/\/wp.lancs.ac.uk\/aragenre\/files\/2026\/05\/banner-180x180.png 180w\" sizes=\"auto, (max-width: 569px) 100vw, 569px\" \/><\/h2>\n<p>AraGenre is a shared task on hierarchical Arabic genre classification. The task evaluates whether systems can identify the communicative genre of Arabic texts across two levels: <strong>Broad Genre<\/strong>, referring to high-level communicative functions such as Informative, Interactive, Creative, Religious, Legal, or Learning, and <strong>Specific Genre<\/strong>, referring to finer-grained genre subtypes such as encyclopaedic writing, forum discussion, educational explanation, diplomatic communication, or religious commentary.<\/p>\n<p>Unlike traditi<\/p>\n<p>onal text classification benchmarks that rely heavily on large labelled datasets and stable training distributions, AraGenre focuses on robust genre understanding across diverse communicative settings, dialects, orthographic conventions, and writing styles. The task adopts a definition-guided framework where participants are provided with a hierarchical genre taxonomy, English genre definitions, labelled training and development data, and a hidden evaluation benchmark containing naturally occurring Arabic texts.<\/p>\n<p>The released training and development sets consist primarily of synthetic and carefully controlled examples designed to simulate low-resource conditions. In contrast, the hidden evaluation benchmark contains substantially noisier naturally occurring texts and previously unseen genre-definition combinations, encouraging systems to rely on semantic understanding of communicative function rather than memorisation of narrow lexical patterns.<\/p>\n<p>The benchmark spans Modern Standard Arabic, Classical Arabic, and multiple Arabic dialects, including both formal and informal writing styles as well as diacritised and undiacritised text.<\/p>\n<p>Systems are evaluated separately at the broad and specific genre levels. The official ranking metric is <strong>Hierarchical Macro F1<\/strong>, calculated as the average of Broad Macro F1 and Specific Macro F1.<\/p>\n<p>AraGenre is intended as a practical computational benchmarking framework for Arabic NLP. Some categories may overlap with related notions in linguistics and discourse studies, including text type, register, and discourse function.<\/p>\n<p>Each input instance consists of an Arabic text segment ranging from short fragments to longer passages. Systems must assign both a broad genre label and a fine-grained specific genre label.<\/p>\n<p>AraGenre adopts a definition-guided evaluation framework where systems receive English genre definitions together with limited labelled training and development data designed to simulate low-resource conditions.<\/p>\n<h2><span style=\"font-size: 16px\">The hidden evaluation benchmark contains noisier naturally occurring Arabic texts from diverse communicative settings and includes previously unseen genre-definition combinations to encourage semantic genre understanding beyond narrow lexical memorisation.<\/span><\/h2>\n<h2>Table 1: Example Genres with Definitions and Illustrative Samples<\/h2>\n<table>\n<thead>\n<tr>\n<th>Broad Genre<\/th>\n<th>Specific Genre<\/th>\n<th>Definition<\/th>\n<th>Example 1<\/th>\n<th>Example 2<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Informative<\/td>\n<td>Analytical Reports<\/td>\n<td>Structured analytical writing discussing trends, developments, policies, or evidence-based observations using factual interpretation or comparative analysis.<\/td>\n<td>\u062a\u0634\u064a\u0631 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0627\u0642\u062a\u0635\u0627\u062f\u064a\u0629 \u0627\u0644\u0623\u062e\u064a\u0631\u0629 \u0625\u0644\u0649 \u0627\u0631\u062a\u0641\u0627\u0639 \u0645\u0639\u062f\u0644\u0627\u062a \u0627\u0644\u062a\u0636\u062e\u0645 \u0645\u0642\u0627\u0631\u0646\u0629 \u0628\u0627\u0644\u0639\u0627\u0645 \u0627\u0644\u0633\u0627\u0628\u0642\u060c \u0645\u0645\u0627 \u0623\u062f\u0649 \u0625\u0644\u0649 \u062a\u0631\u0627\u062c\u0639 \u0627\u0644\u0642\u0648\u0629 \u0627\u0644\u0634\u0631\u0627\u0626\u064a\u0629 \u0644\u0644\u0623\u0633\u0631.<\/td>\n<td>\u0623\u0638\u0647\u0631\u062a \u0627\u0644\u062f\u0631\u0627\u0633\u0629 \u0623\u0646 \u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u0645\u0641\u0631\u0637 \u0644\u0644\u0647\u0648\u0627\u062a\u0641 \u0627\u0644\u0630\u0643\u064a\u0629 \u0628\u064a\u0646 \u0627\u0644\u0645\u0631\u0627\u0647\u0642\u064a\u0646 \u064a\u0631\u062a\u0628\u0637 \u0628\u0627\u0646\u062e\u0641\u0627\u0636 \u0633\u0627\u0639\u0627\u062a \u0627\u0644\u0646\u0648\u0645 \u0648\u0636\u0639\u0641 \u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0627\u0644\u0623\u0643\u0627\u062f\u064a\u0645\u064a.<\/td>\n<\/tr>\n<tr>\n<td>Interactive<\/td>\n<td>Advice Columns<\/td>\n<td>Texts where individuals seek or provide practical, emotional, social, or moral advice regarding personal experiences or everyday situations.<\/td>\n<td>\u0623\u0634\u0639\u0631 \u0628\u0627\u0644\u062a\u0648\u062a\u0631 \u0627\u0644\u0634\u062f\u064a\u062f \u0642\u0628\u0644 \u0627\u0644\u0627\u0645\u062a\u062d\u0627\u0646\u0627\u062a\u060c \u0648\u0644\u0627 \u0623\u0639\u0631\u0641 \u0643\u064a\u0641 \u0623\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0647\u0630\u0627 \u0627\u0644\u0642\u0644\u0642 \u0627\u0644\u0645\u0633\u062a\u0645\u0631\u060c \u0641\u0645\u0627\u0630\u0627 \u062a\u0646\u0635\u062d\u0648\u0646\u0646\u064a\u061f<\/td>\n<td>\u0623\u0639\u0627\u0646\u064a \u0645\u0646 \u0635\u0639\u0648\u0628\u0629 \u0641\u064a \u062a\u0646\u0638\u064a\u0645 \u0648\u0642\u062a\u064a \u0628\u064a\u0646 \u0627\u0644\u0639\u0645\u0644 \u0648\u0627\u0644\u062f\u0631\u0627\u0633\u0629\u060c \u0648\u0623\u062d\u062a\u0627\u062c \u0625\u0644\u0649 \u0646\u0635\u0627\u0626\u062d \u062a\u0633\u0627\u0639\u062f\u0646\u064a \u0639\u0644\u0649 \u062a\u062d\u0642\u064a\u0642 \u0627\u0644\u062a\u0648\u0627\u0632\u0646.<\/td>\n<\/tr>\n<tr>\n<td>Learning<\/td>\n<td>Educational Explanations<\/td>\n<td>Explanatory educational texts intended to help learners understand academic, scientific, technical, or conceptual topics through clarification and structured reasoning.<\/td>\n<td>\u064a\u062d\u062f\u062b \u0627\u0644\u062a\u0628\u062e\u0631 \u0639\u0646\u062f\u0645\u0627 \u062a\u062a\u062d\u0648\u0644 \u0627\u0644\u0645\u0627\u062f\u0629 \u0645\u0646 \u0627\u0644\u062d\u0627\u0644\u0629 \u0627\u0644\u0633\u0627\u0626\u0644\u0629 \u0625\u0644\u0649 \u0627\u0644\u062d\u0627\u0644\u0629 \u0627\u0644\u063a\u0627\u0632\u064a\u0629 \u0646\u062a\u064a\u062c\u0629 \u0627\u0643\u062a\u0633\u0627\u0628\u0647\u0627 \u0644\u0644\u0637\u0627\u0642\u0629 \u0627\u0644\u062d\u0631\u0627\u0631\u064a\u0629.<\/td>\n<td>\u0644\u062d\u0633\u0627\u0628 \u0645\u0633\u0627\u062d\u0629 \u0627\u0644\u0645\u062b\u0644\u062b\u060c \u0646\u0642\u0648\u0645 \u0628\u0636\u0631\u0628 \u0637\u0648\u0644 \u0627\u0644\u0642\u0627\u0639\u062f\u0629 \u0641\u064a \u0627\u0644\u0627\u0631\u062a\u0641\u0627\u0639 \u062b\u0645 \u0646\u0642\u0633\u0645 \u0627\u0644\u0646\u0627\u062a\u062c \u0639\u0644\u0649 \u0627\u062b\u0646\u064a\u0646.<\/td>\n<\/tr>\n<tr>\n<td>Legal<\/td>\n<td>Diplomatic Communication<\/td>\n<td>Official communication concerning international relations, negotiations, cooperation, agreements, or political coordination between states or organisations.<\/td>\n<td>\u0623\u0643\u062f\u062a \u0627\u0644\u062f\u0648\u0644 \u0627\u0644\u0645\u0634\u0627\u0631\u0643\u0629 \u0623\u0647\u0645\u064a\u0629 \u062a\u0639\u0632\u064a\u0632 \u0627\u0644\u062a\u0639\u0627\u0648\u0646 \u0627\u0644\u0625\u0642\u0644\u064a\u0645\u064a \u0644\u0645\u0648\u0627\u062c\u0647\u0629 \u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a \u0627\u0644\u0627\u0642\u062a\u0635\u0627\u062f\u064a\u0629 \u0627\u0644\u0645\u0634\u062a\u0631\u0643\u0629.<\/td>\n<td>\u0639\u0642\u062f \u0627\u0644\u0648\u0641\u062f\u0627\u0646 \u0627\u062c\u062a\u0645\u0627\u0639\u0627\u064b \u062b\u0646\u0627\u0626\u064a\u0627\u064b \u0644\u0628\u062d\u062b \u0622\u0644\u064a\u0627\u062a \u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0639\u0644\u0627\u0642\u0627\u062a \u0627\u0644\u062a\u062c\u0627\u0631\u064a\u0629 \u0628\u064a\u0646 \u0627\u0644\u0628\u0644\u062f\u064a\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u0645\u0642\u0628\u0644\u0629.<\/td>\n<\/tr>\n<tr>\n<td>Creative<\/td>\n<td>Motivational Writing<\/td>\n<td>Expressive or reflective writing intended to inspire, encourage, or persuade readers through motivational rhetoric or self-improvement themes.<\/td>\n<td>\u0644\u0627 \u062a\u0633\u0645\u062d \u0644\u0644\u0641\u0634\u0644 \u0623\u0646 \u064a\u0648\u0642\u0641\u0643\u060c \u0641\u0643\u0644 \u062a\u062c\u0631\u0628\u0629 \u0635\u0639\u0628\u0629 \u062a\u0645\u0646\u062d\u0643 \u0641\u0631\u0635\u0629 \u062c\u062f\u064a\u062f\u0629 \u0644\u0644\u0646\u0645\u0648 \u0648\u0627\u0644\u062a\u0639\u0644\u0645.<\/td>\n<td>\u0627\u0644\u0646\u062c\u0627\u062d \u0644\u0627 \u064a\u0623\u062a\u064a \u0635\u062f\u0641\u0629\u060c \u0628\u0644 \u064a\u0628\u062f\u0623 \u0628\u062e\u0637\u0648\u0629 \u0635\u063a\u064a\u0631\u0629 \u0648\u0625\u064a\u0645\u0627\u0646 \u0645\u0633\u062a\u0645\u0631 \u0628\u0642\u062f\u0631\u0627\u062a\u0643.<\/td>\n<\/tr>\n<tr>\n<td>Religious<\/td>\n<td>Religious Commentary<\/td>\n<td>Reflective or explanatory religious writing discussing moral lessons, spiritual guidance, interpretation, or ethical values within a religious context.<\/td>\n<td>\u064a\u062f\u0639\u0648 \u0627\u0644\u0625\u0633\u0644\u0627\u0645 \u0625\u0644\u0649 \u0627\u0644\u0635\u0628\u0631 \u0648\u0627\u0644\u062a\u0633\u0627\u0645\u062d\u060c \u0648\u064a\u062d\u062b \u0627\u0644\u0625\u0646\u0633\u0627\u0646 \u0639\u0644\u0649 \u0645\u0639\u0627\u0645\u0644\u0629 \u0627\u0644\u0622\u062e\u0631\u064a\u0646 \u0628\u0627\u0644\u0631\u062d\u0645\u0629 \u0648\u0627\u0644\u0639\u062f\u0644.<\/td>\n<td>\u064a\u0648\u0636\u062d \u0627\u0644\u0643\u0627\u062a\u0628 \u0623\u0647\u0645\u064a\u0629 \u0627\u0644\u0625\u062e\u0644\u0627\u0635 \u0641\u064a \u0627\u0644\u0639\u0645\u0644\u060c \u0648\u0623\u0646 \u0627\u0644\u0646\u064a\u0629 \u0627\u0644\u0635\u0627\u062f\u0642\u0629 \u0623\u0633\u0627\u0633 \u0642\u0628\u0648\u0644 \u0627\u0644\u0623\u0639\u0645\u0627\u0644 \u0639\u0646\u062f \u0627\u0644\u0644\u0647.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>2. Motivation and Significance<\/h2>\n<p>Most contemporary NLP systems rely heavily on large annotated datasets and stable training distributions. In Arabic and other low-resource settings, labelled data are often limited, uneven across dialects and domains, or unavailable altogether. As a result, systems frequently struggle when exposed to noisier real-world text or previously unseen data distributions.<\/p>\n<p>AraGenre reframes genre classification as a robust generalisation problem rather than a conventional closed-label task. Systems must infer communicative function and stylistic behaviour from limited supervision while generalising to naturally occurring Arabic texts.<\/p>\n<p>The benchmark is designed to encourage research on hierarchical classification, definition-guided modelling, and robust semantic generalisation under realistic low-resource conditions.<\/p>\n<h2>3. Hierarchical Genre Organisation and Task Design<\/h2>\n<p>AraGenre is organised as a hierarchical Arabic genre classification task where systems must predict both a <strong>broad genre<\/strong> label and a <strong>fine-grained specific genre<\/strong> label for each Arabic text segment.<\/p>\n<p>The benchmark currently includes six broad genres:<\/p>\n<ul>\n<li>Informative<\/li>\n<li>Creative<\/li>\n<li>Interactive<\/li>\n<li>Learning<\/li>\n<li>Legal<\/li>\n<li>Religious<\/li>\n<\/ul>\n<p>The released training and development data include genres such as analytical reports, educational explanations, diplomatic communication, motivational writing, forum discussion, and religious commentary.<\/p>\n<p>AraGenre adopts a definition-guided framework where participants receive English genre definitions together with limited labelled training and development data designed to simulate realistic low-resource conditions.<\/p>\n<p>In contrast, the hidden evaluation benchmark contains noisier naturally occurring Arabic texts spanning Modern Standard Arabic, Classical Arabic, and multiple Arabic dialects, including both formal and informal writing styles.<\/p>\n<p>Systems are evaluated separately at the broad and specific genre levels. The official ranking metric is <strong>Hierarchical Macro F1<\/strong>, calculated as the average of Broad Macro F1 and Specific Macro F1, allowing evaluation of both high-level communicative understanding and fine-grained genre recognition.<\/p>\n<h2>4. Evaluation Framework<\/h2>\n<p>Systems generate two predictions for each input instance:<\/p>\n<ul>\n<li>a broad genre label,<\/li>\n<li>and a specific genre label.<\/li>\n<\/ul>\n<p>Performance is evaluated separately at both levels using Macro F1, Weighted F1, and Accuracy.<\/p>\n<p>The official ranking metric is <strong>Hierarchical Macro F1<\/strong>, calculated as the average of Broad Macro F1 and Specific Macro F1.<\/p>\n<p>The evaluation setup is designed to encourage robust genre understanding under linguistic and stylistic variation rather than narrow lexical memorisation.<\/p>\n<h2>5. Baselines and Benchmarking<\/h2>\n<p>AraGenre provides two official baseline systems as reproducible reference points for hierarchical Arabic genre classification.<\/p>\n<p><strong>Baseline 1<\/strong> uses multilingual sentence embeddings and semantic similarity between input texts and genre definitions.<br \/>\n<strong>Baseline 2<\/strong> uses retrieval-augmented generation (RAG) with an instruction-tuned multilingual large language model.<\/p>\n<p>Baselines results are on Codabench: <a href=\"https:\/\/www.codabench.org\/competitions\/16356\/#\/results-tab\">https:\/\/www.codabench.org\/competitions\/16356\/#\/results-tab<\/a><\/p>\n<p>Both baselines generate broad and specific genre predictions using the official shared-task JSON format.<\/p>\n<p>On the development benchmark, Baseline 1 achieved stronger overall performance:<\/p>\n<table>\n<thead>\n<tr>\n<th>Baseline<\/th>\n<th>Hierarchical Macro F1<\/th>\n<th>Specific Macro F1<\/th>\n<th>Specific Weighted F1<\/th>\n<th>Specific Accuracy<\/th>\n<th>Broad Macro F1<\/th>\n<th>Broad Weighted F1<\/th>\n<th>Broad Accuracy<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Baseline 1: Embedding Similarity<\/td>\n<td>0.4658<\/td>\n<td>0.4658<\/td>\n<td>0.4999<\/td>\n<td>0.4818<\/td>\n<td>0.4658<\/td>\n<td>0.4999<\/td>\n<td>0.4818<\/td>\n<\/tr>\n<tr>\n<td>Baseline 2: RAG + Multilingual LLM<\/td>\n<td>0.3899<\/td>\n<td>0.3899<\/td>\n<td>0.3890<\/td>\n<td>0.4273<\/td>\n<td>0.3899<\/td>\n<td>0.3890<\/td>\n<td>0.4273<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The starter kit additionally includes data loaders, evaluation scripts, example submissions, and Codabench-compatible prediction formatting.<\/p>\n<h2>6. Submission Protocol and Reproducibility<\/h2>\n<p>AraGenre uses Codabench as the official evaluation platform:<\/p>\n<p><a href=\"https:\/\/www.codabench.org\/competitions\/16356\">https:\/\/www.codabench.org\/competitions\/16356<\/a><\/p>\n<p>Participants receive the released training and development data together with hidden evaluation inputs and genre definitions during testing.<\/p>\n<p>For each test instance, systems must generate:<\/p>\n<ul>\n<li>one broad genre prediction,<\/li>\n<li>and one specific genre prediction.<\/li>\n<\/ul>\n<p>Submissions must follow the official JSON format provided in the starter kit. Prediction files are automatically evaluated against hidden gold-standard annotations on the evaluation server.<\/p>\n<p>Systems are evaluated using Broad Macro F1, Specific Macro F1, and the official ranking metric, <strong>Hierarchical Macro F1<\/strong>.<\/p>\n<p>Participants are encouraged to submit prediction files, system description papers, and optional reproducibility material or source code.<\/p>\n<p>The released baselines provide reference implementations for embedding-based definition matching and retrieval-augmented generation using multilingual large language models.<\/p>\n<h2>7. Accessibility and Research Impact<\/h2>\n<p>AraGenre is designed as an accessible benchmark for hierarchical Arabic genre classification under realistic low-resource conditions. The task encourages systems that generalise across diverse communicative settings, dialects, and writing styles rather than relying on narrow lexical memorisation.<\/p>\n<p>Beyond Arabic NLP, the benchmark supports research on hierarchical classification, definition-guided modelling, retrieval-augmented reasoning, and robust semantic generalisation under limited supervision.<\/p>\n<p>The shared task will be promoted through Arabic NLP and ACL communities, with a dedicated website providing task documentation, datasets, baselines, starter code, and public leaderboards.<\/p>\n<h2 data-section-id=\"17m6418\" data-start=\"0\" data-end=\"26\">9. Timeline (Tentative)<\/h2>\n<div class=\"TyagGW_tableContainer\">\n<div class=\"group TyagGW_tableWrapper flex flex-col-reverse w-fit\"><\/div>\n<\/div>\n<table>\n<thead>\n<tr>\n<th>Date<\/th>\n<th>Milestone<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>May 18, 2026<\/td>\n<td>Release of task website, training\/development data, baseline systems, and evaluation scripts<\/td>\n<\/tr>\n<tr>\n<td>July 30, 2026<\/td>\n<td>Registration deadline and release of hidden test inputs<\/td>\n<\/tr>\n<tr>\n<td>July 31, 2026<\/td>\n<td>Submission deadline and final evaluation<\/td>\n<\/tr>\n<tr>\n<td>August 22, 2026<\/td>\n<td>System description papers due<\/td>\n<\/tr>\n<tr>\n<td>September 1, 2026<\/td>\n<td>Shared task overview paper due<\/td>\n<\/tr>\n<tr>\n<td>September 10, 2026<\/td>\n<td>Conference camera-ready deadline<\/td>\n<\/tr>\n<tr>\n<td>October 24\u201329, 2026<\/td>\n<td>ArabicNLP 2026 \/ EMNLP 2026, Budapest, Hungary<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 data-section-id=\"17m6418\" data-start=\"0\" data-end=\"26\">10. Organisers<\/h2>\n<ul>\n<li><span style=\"font-size: 12pt;font-family: helvetica\"><a href=\"https:\/\/elhaj.uk\/\"><span style=\"font-weight: 400\">Mo El-Haj<\/span><\/a><span style=\"font-weight: 400\">, Organising Chair, Lancaster University, UK. VinUniversity, Vietnam. <\/span><a href=\"mailto:m.el-haj@lancaster.ac.uk\"><span style=\"font-weight: 400\">m.el-haj@lancaster.ac.uk<\/span><\/a><\/span><\/li>\n<li><span style=\"font-size: 12pt;font-family: helvetica\"><a href=\"https:\/\/www.hbku.edu.qa\/en\/staff\/mustafa-jarrar\"><span style=\"font-weight: 400\">Mustafa Jarrar<\/span><\/a><span style=\"font-weight: 400\">, Programme Chair, Hamad Bin Khalifa University (HBKU), Qatar. <\/span><a href=\"https:\/\/www.hbku.edu.qa\/en\/staff\/mustafa-jarrar#\"><span style=\"font-weight: 400\">mjarrar@hbku.edu.qa<\/span><\/a><span style=\"font-weight: 400\">\u00a0<\/span><\/span><\/li>\n<li><span style=\"font-size: 12pt;font-family: helvetica\"><a href=\"https:\/\/ezzini.github.io\/\"><span style=\"font-weight: 400\">Saad Ezzini<\/span><\/a><span style=\"font-weight: 400\">, Programme Chair, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia.\u00a0 <\/span><a href=\"mailto:saad.ezzini@kfupm.edu.sa\"><span style=\"font-weight: 400\">saad.ezzini@kfupm.edu.sa<\/span><\/a><span style=\"font-weight: 400\">\u00a0<\/span><\/span><\/li>\n<li><span style=\"font-size: 12pt;font-family: helvetica\"><a href=\"https:\/\/sabudalfa.github.io\"><span style=\"font-weight: 400\">Shadi Abudalfa<\/span><\/a><span style=\"font-weight: 400\">, Programme Chair, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. <\/span><a href=\"mailto:shadi.abudalfa@kfupm.edu.sa\"><span style=\"font-weight: 400\">shadi.abudalfa@kfupm.edu.sa<\/span><\/a><\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>AraGenre: A Hierarchical Definition-Guided Arabic Genre Classification Shared Task Mo El-Haj, Saad Ezzini, Mustafa Jarrar, Shadi Abudalfa m.el-haj@lancaster.ac.uk\u00a0 Registration form: https:\/\/forms.gle\/RAi7SpYoRD5RgUnP6 AraGenre Codabench: https:\/\/www.codabench.org\/competitions\/16356 1. Overview AraGenre is a shared task on hierarchical Arabic genre classification. The task evaluates whether systems can identify the communicative genre of Arabic texts across two levels: Broad Genre, referring&hellip; <a href=\"https:\/\/wp.lancs.ac.uk\/aragenre\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">AraGenre 2026<\/span><\/a><\/p>\n","protected":false},"author":660,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"tags":[],"class_list":["post-2","page","type-page","status-publish","hentry","without-featured-image"],"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/pages\/2","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/users\/660"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/comments?post=2"}],"version-history":[{"count":10,"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/pages\/2\/revisions"}],"predecessor-version":[{"id":21,"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/pages\/2\/revisions\/21"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/media?parent=2"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/aragenre\/wp-json\/wp\/v2\/tags?post=2"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}