1 citations · 5 across the 21 of their papers we have counts for
21 papers
ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation
Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11
We present an overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation. It includes two tasks: (i) AynVQA, covering spoken visual question ans…
Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs
Abdellah El Mekki, Samar M. Magdy, Houdaifa Atou +44
Arabic is a highly diglossic language where most daily communication occurs in regional dialects rather than Modern Standard Arabic (MSA). Despite this, machine translation (MT) sy…
From RAG to Agentic RAG for Faithful Islamic Question Answering
Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar +8
Large Language Models (LLMs) are increasingly used for Islamic question answering, where ungrounded responses may carry serious religious consequences. Yet standard MCQ/MRC-style e…
QuranMorph: Morphologically Annotated Quranic Corpus
Diyam Akra, Tymaa Hammouda, Mustafa Jarrar
We present the QuranMorph corpus, a morphologically annotated corpus for the Quran (77,429 tokens). Each token in the QuranMorph was manually lemmatized and tagged with its part-of…
Konooz: Multi-domain Multi-dialect Corpus for Named Entity Recognition
Nagham Hamad, Mohammed Khalilia, Mustafa Jarrar
We introduce Konooz, a novel multi-dimensional corpus covering 16 Arabic dialects across 10 domains, resulting in 160 distinct corpora. The corpus comprises about 777k tokens, care…
Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset
Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki +34
Mainstream large vision-language models (LVLMs) inherently encode cultural biases, highlighting the need for diverse multimodal datasets. To address this gap, we introduce PEARL, a…
Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMs
Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy +41
As large language models (LLMs) become increasingly integrated into daily life, ensuring their cultural sensitivity and inclusivity is paramount. We introduce our dataset, a year-l…
SinaTools: Open Source Toolkit for Arabic Natural Language Processing
Tymaa Hammouda, Mustafa Jarrar, Mohammed Khalilia
We introduce SinaTools, an open-source Python package for Arabic natural language processing and understanding. SinaTools is a unified package allowing people to integrate it into…
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition
Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy +24
In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divi…
Event-Arguments Extraction Corpus and Modeling using BERT for Arabic
Alaa Aljabari, Lina Duaibes, Mustafa Jarrar +1
Event-argument extraction is a challenging task, particularly in Arabic due to sparse linguistic resources. To fill this gap, we introduce the \hadath corpus (k tokens) as an…
ArabicNLU 2024: The First Arabic Natural Language Understanding Shared Task
Mohammed Khalilia, Sanad Malaysha, Reem Suwaileh +4
This paper presents an overview of the Arabic Natural Language Understanding (ArabicNLU 2024) shared task, focusing on two subtasks: Word Sense Disambiguation (WSD) and Location Me…
WojoodNER 2024: The Second Arabic Named Entity Recognition Shared Task
Mustafa Jarrar, Nagham Hamad, Mohammed Khalilia +3
We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants with a new…
AraFinNLP 2024: The First Arabic Financial NLP Shared Task
Sanad Malaysha, Mo El-Haj, Saad Ezzini +5
The expanding financial markets of the Arab world require sophisticated Arabic NLP tools. To address this need within the banking domain, the Arabic Financial NLP (AraFinNLP) share…
Qabas: An Open-Source Arabic Lexicographic Database
Mustafa Jarrar, Tymaa Hammouda
We present Qabas, a novel open-source Arabic lexicon designed for NLP applications. The novelty of Qabas lies in its synthesis of 110 lexicons. Specifically, Qabas lexical entries…
Are Large Language Models the New Interface for Data Pipelines?
Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe +5
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant at…
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness
Sanad Malaysha, Mustafa Jarrar, Mohammed Khalilia
Semantic textual relatedness is a broader concept of semantic similarity. It measures the extent to which two chunks of text convey similar meaning or topics, or share related conc…
ArBanking77: Intent Detection Neural Model and a New Dataset in Modern and Dialectical Arabic
Mustafa Jarrar, Ahmet Birim, Mohammed Khalilia +2
This paper presents the ArBanking77, a large Arabic dataset for intent detection in the banking domain. Our dataset was arabized and localized from the original English Banking77 d…
SALMA: Arabic Sense-Annotated Corpus and WSD Benchmarks
Mustafa Jarrar, Sanad Malaysha, Tymaa Hammouda +1
SALMA, the first Arabic sense-annotated corpus, consists of ~34K tokens, which are all sense-annotated. The corpus is annotated using two different sense inventories simultaneously…
Nabra: Syrian Arabic Dialects with Morphological Annotations
Amal Nayouf, Tymaa Hammouda, Mustafa Jarrar +2
This paper presents Nabra, a corpora of Syrian Arabic dialects with morphological annotations. A team of Syrian natives collected more than 6K sentences containing about 60K words…
WojoodNER 2023: The First Arabic Named Entity Recognition Shared Task
Mustafa Jarrar, Muhammad Abdul-Mageed, Mohammed Khalilia +4
We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared Task. The primary focus of WojoodNER-2023 is on Arabic NER, offering novel NER datasets (i.e., Woj…
Arabic Fine-Grained Entity Recognition
Haneen Liqreina, Mustafa Jarrar, Mohammed Khalilia +2
Traditional NER systems are typically trained to recognize coarse-grained entities, and less attention is given to classifying entities into a hierarchy of fine-grained lower-level…