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Found 8 papers, 5 papers with code
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models
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 of LLMs such as GPT-3. 5 and GPT-4.
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets
Masader Plus can be explored using this link https://arbml. github. io/masader.
JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation
As for the last subtask, our models reach 16. 10 BLEU score and 1. 94 human evaluation score placing our team in the 5th and 3rd places according to these two metrics, respectively.
Tha3aroon at NSURL-2019 Task 8: Semantic Question Similarity in Arabic
In this paper, we describe our team's effort on the semantic text question similarity task of NSURL 2019.
Ranked #2 on
Question Similarity
on Q2Q Arabic Benchmark
Neural Arabic Text Diacritization: State of the Art Results and a Novel Approach for Machine Translation
In this work, we present several deep learning models for the automatic diacritization of Arabic text.
Ranked #2 on
Arabic Text Diacritization
on Tashkeela
(using extra training data)
Pretrained Ensemble Learning for Fine-Grained Propaganda Detection
In this paper, we describe our team{'}s effort on the fine-grained propaganda detection on sentence level classification (SLC) task of NLP4IF 2019 workshop co-located with the EMNLP-IJCNLP 2019 conference.
Team JUST at the MADAR Shared Task on Arabic Fine-Grained Dialect Identification
In this paper, we describe our team{'}s effort on the MADAR Shared Task on Arabic Fine-Grained Dialect Identification.
Arabic Text Diacritization Using Deep Neural Networks
After constructing the dataset, existing tools and systems are tested on it.
Ranked #6 on
Arabic Text Diacritization
on Tashkeela
