We present an overview of the FIGNEWS shared task, organized as part of the ArabicNLP
2024 conference co-located with ACL 2024. The shared task addresses bias and …

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) …

This paper presents an overview of the Arabic Natural Language Understanding
(ArabicNLU 2024) shared task, focusing on two subtasks: Word Sense Disambiguation …

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 …

Abstract Named Entity Recognition (NER) is a fundamental task in Natural Language
Processing (NLP) that focuses on extracting entities such as names of people …

Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) that aims
to identify and classify entities in text into predefined categories. However, when applied to …

We introduce SinaTools, an open-source Python package for Arabic natural language
processing and understanding. SinaTools is a unified package allowing people to integrate …

This paper presents our system “muNERa”, submitted to the WojoodNER 2024 shared task
at the second ArabicNLP conference. We participated in two subtasks, the flat and nested …

This paper details our submission to the WojoodNER Shared Task 2024, leveraging in-
context learning with large language models for Arabic Named Entity Recognition. We …