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) …

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 …

This paper presents Nabra, a corpora of Syrian Arabic dialects with morphological
annotations. A team of Syrian natives collected more than 6K sentences containing about …

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 …

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 …

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 …

We present Qabas, a novel open-source Arabic lexicon designed for NLP applications. The
novelty of Qabas lies in its synthesis of 110 lexicons. Specifically, Qabas lexical entries …

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 …

Semantic textual relatedness is a broader concept of semantic similarity. It measures the
extent to which two chunks of text convey similar meaning or topics, or share related …

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 …