AraBERT

AbstractMultilingual pre-trained Transformers, such as mBERT (Devlin et al., 2019) and XLM-RoBERTa (Conneau et al., 2020a), have been shown to enable effective cross-lingual zero-shot transfer. However, their performance on Arabic …...

AbstractAraBERT is an Arabic version of the state-of-the-art Bidirectional Encoder Representations from Transformers (BERT) model. The latter has achieved good performance in a variety of Natural Language Processing (NLP) tasks. …...

AbstractDue to the widespread usage of social media sites and the enormous number of users who utilize irony implicit words in most of their tweets and posts, it has become …...

Paraphrase detection allows identifying the degree of likelihood between source and suspect sentences. It is a critical machine learning problem in computational linguistics. This is due to the expression variability …...