The expanding financial markets of the Arab world require sophisticated Arabic NLP tools.
To address this need within the banking domain, the Arabic Financial NLP (AraFinNLP) …

We present WojoodNER-2023, the first Arabic Named Entity Recognition (NER) Shared
Task. The primary focus of WojoodNER-2023 is on Arabic NER, offering novel NER datasets …

We present WojoodNER-2024, the second Arabic Named Entity Recognition (NER) Shared
Task. In WojoodNER-2024, we focus on fine-grained Arabic NER. We provided participants …

SALMA, the first Arabic sense-annotated corpus, consists of~ 34K tokens, which are all
sense-annotated. The corpus is annotated using two different sense inventories …

Traditional NER systems are typically trained to recognize coarse-grained entities, and less
attention is given to classifying entities into a hierarchy of fine-grained lower-level subtypes …

This paper presents the ArBanking77, a large Arabic dataset for intent detection in the
banking domain. Our dataset was arabized and localized from the original English …

The proliferation of bias and propaganda on social media is an increasingly significant
concern, leading to the development of techniques for automatic detection. This article …

Event-argument extraction is a challenging task, particularly in Arabic due to sparse
linguistic resources. To fill this gap, we introduce the\hadath corpus ($550 $ k tokens) as an …

We introduce Alma (), an open-source and state-of-the-art lemmatizer, POS tagger, and root
tagger for Arabic, boasting both high speed and accuracy. Alma relies on a dictionary of …

Social media platforms have become central to global communication, yet they also facilitate
the spread of hate speech. For underrepresented dialects like Levantine Arabic, detecting …