46 citations · 169 across the 30 of their papers we have counts for
32 papers
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…
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…
VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System
Abdul Waheed, Bashar Talafha, Peter Sullivan +2
Arabic is a complex language with many varieties and dialects spoken by over 450 millions all around the world. Due to the linguistic diversity and variations, it is challenging to…
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…
Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation
AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed
Understanding Arabic text and generating human-like responses is a challenging endeavor. While many researchers have proposed models and solutions for individual problems, there is…
On the Robustness of Arabic Speech Dialect Identification
Peter Sullivan, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Arabic dialect identification (ADI) tools are an important part of the large-scale data collection pipelines necessary for training speech recognition models. As these pipelines re…
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Ahmed El-Shangiti +1
We present Dolphin, a novel benchmark that addresses the need for a natural language generation (NLG) evaluation framework dedicated to the wide collection of Arabic languages and…
UBC-DLNLP at SemEval-2023 Task 12: Impact of Transfer Learning on African Sentiment Analysis
Gagan Bhatia, Ife Adebara, AbdelRahim Elmadany +1
We describe our contribution to the SemEVAl 2023 AfriSenti-SemEval shared task, where we tackle the task of sentiment analysis in 14 different African languages. We develop both mo…
SERENGETI: Massively Multilingual Language Models for Africa
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed +1
Multilingual pretrained language models (mPLMs) acquire valuable, generalizable linguistic information during pretraining and have advanced the state of the art on task-specific fi…
ORCA: A Challenging Benchmark for Arabic Language Understanding
AbdelRahim Elmadany, El Moatez Billah Nagoudi, Muhammad Abdul-Mageed
Due to their crucial role in all NLP, several benchmarks have been proposed to evaluate pretrained language models. In spite of these efforts, no public benchmark of diverse nature…
JASMINE: Arabic GPT Models for Few-Shot Learning
El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany +2
Scholarship on generative pretraining (GPT) remains acutely Anglocentric, leaving serious gaps in our understanding of the whole class of autoregressive models. For example, we hav…
A Benchmark Study of Contrastive Learning for Arabic Social Meaning
Md Tawkat Islam Khondaker, El Moatez Billah Nagoudi, AbdelRahim Elmadany +2
Contrastive learning (CL) brought significant progress to various NLP tasks. Despite this progress, CL has not been applied to Arabic NLP to date. Nor is it clear how much benefits…
NADI 2022: The Third Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI 2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. I…
AfroLID: A Neural Language Identification Tool for African Languages
Ife Adebara, AbdelRahim Elmadany, Muhammad Abdul-Mageed +1
Language identification (LID) is a crucial precursor for NLP, especially for mining web data. Problematically, most of the world's 7000+ languages today are not covered by LID tech…
TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed
We present TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA). TURJUMAN exploits the recently-introduced text-to-text Transformer AraT5…
AraT5: Text-to-Text Transformers for Arabic Language Generation
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Transfer learning with a unified Transformer framework (T5) that converts all language problems into a text-to-text format was recently proposed as a simple and effective transfer…
Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed
Recent progress in neural machine translation (NMT) has made it possible to translate successfully between monolingual language pairs where large parallel data exist, with pre-trai…
NADI 2021: The Second Nuanced Arabic Dialect Identification Shared Task
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +2
We present the findings and results of the Second Nuanced Arabic Dialect Identification Shared Task (NADI 2021). This Shared Task includes four subtasks: country-level Modern Stand…
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic
Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi
Pre-trained language models (LMs) are currently integral to many natural language processing systems. Although multilingual LMs were also introduced to serve many languages, these…
Machine Generation and Detection of Arabic Manipulated and Fake News
El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed +2
Fake news and deceptive machine-generated text are serious problems threatening modern societies, including in the Arab world. This motivates work on detecting false and manipulate…
DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings
Muhammad Abdul-Mageed, Shady Elbassuoni, Jad Doughman +7
Word embeddings are a core component of modern natural language processing systems, making the ability to thoroughly evaluate them a vital task. We describe DiaLex, a benchmark for…
Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments
Muhammad Abdul-Mageed, Chiyu Zhang, AbdelRahim Elmadany +1
Although the prediction of dialects is an important language processing task, with a wide range of applications, existing work is largely limited to coarse-grained varieties. Inspi…
Leveraging Affective Bidirectional Transformers for Offensive Language Detection
AbdelRahim Elmadany, Chiyu Zhang, Muhammad Abdul-Mageed +1
Social media are pervasive in our life, making it necessary to ensure safe online experiences by detecting and removing offensive and hate speech. In this work, we report our submi…