14 citations · 29 across the 4 of their papers we have counts for
5 papers
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models
Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi +3
Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top…
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets
Yousef Altaher, Ali Fadel, Mazen Alotaibi +18
Masader (Alyafeai et al., 2021) created a metadata structure to be used for cataloguing Arabic NLP datasets. However, developing an easy way to explore such a catalogue is a challe…
Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
Ali Fadel, Ibraheem Tuffaha, Mahmoud Al-Ayyoub
In this paper, we describe our team's effort on the semantic text question similarity task of NSURL 2019. Our top performing system utilizes several innovative data augmentation te…
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation
Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh +1
In this work, we present several deep learning models for the automatic diacritization of Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural Netw…
Arabic Text Diacritization Using Deep Neural Networks
Ali Fadel, Ibraheem Tuffaha, Bara' Al-Jawarneh +1
Diacritization of Arabic text is both an interesting and a challenging problem at the same time with various applications ranging from speech synthesis to helping students learning…