State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

Transfer learning based on pretraining language models on a large amount of raw data has
become a new norm to reach state-of-the-art performance in NLP. Still, it remains unclear …

Pre-trained transformers are now the de facto models in Natural Language Processing given
their state-of-the-art results in many tasks and languages. However, most of the current …

Do we live in a" Golden Age of Conspiracy Theories?" In the last few decades, conspiracy
theories have proliferated on the Internet with some having dangerous real-world …

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 …

This article presents a discussion on the main linguistic phenomena which cause difficulties
in the analysis of user-generated texts found on the web and in social media, and proposes …

Open-sourced large language models (LLMs) have exhibited remarkable performance in a
variety of NLP tasks, often catching up with the closed-sourced LLMs like ChatGPT. Among …

This paper presents an in-depth investigation of the effectiveness of dependency-based
syntactic features on the irony detection task in a multilingual perspective (English, Spanish …

We describe a corpus of social media posts that include utterances in Arabizi, a Roman-
script rendering of Arabic, mixed with other languages, notably English, French, and Arabic …

Recent impressive improvements in NLP, largely based on the success of contextual neural
language models, have been mostly demonstrated on at most a couple dozen high-resource …