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Found 6 papers, 5 papers with code
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
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)
Multi-Dialect Arabic BERT for Country-Level Dialect Identification
Our winning solution itself came in the form of an ensemble of different training iterations of our pre-trained BERT model, which achieved a micro-averaged F1-score of 26. 78% on the subtask at hand.
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
ALUE: Arabic Language Understanding Evaluation
The emergence of Multi-task learning (MTL)models in recent years has helped push thestate of the art in Natural Language Un-derstanding (NLU).
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.
