AraFinNLP 2024 : The First Arabic Financial NLP Shared Task

Malaysha, Sanad and El-Haj, Mo and Ezzini, Saad and Khalilia, Mohammed and Jarrar, Mustafa and Almujaiwel, Sultan and Berrada, Ismail and Bouamor, Houda (2024) AraFinNLP 2024 : The First Arabic Financial NLP Shared Task. In: Proceedings of The Second Arabic Natural Language Processing Conference :. Association for Computational Linguistics (ACL Anthology), Kerrville, Texas, pp. 393-402. ISBN 9798891761322

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Abstract

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) shared task proposes two subtasks: (i) Multi-dialect Intent Detection and (ii) Cross-dialect Translation and Intent Preservation. This shared task uses the updated ArBanking77 dataset, which includes about 39k parallel queries in MSA and four dialects. Each query is labeled with one or more of a common 77 intents in the banking domain. These resources aim to foster the development of robust financial Arabic NLP, particularly in the areas of machine translation and banking chat-bots. A total of 45 unique teams registered for this shared task, with 11 of them actively participated in the test phase. Specifically, 11 teams participated in Subtask 1, while only 1 team participated in Subtask 2. The winning team of Subtask 1 achieved F1 score of 0.8773, and the only team submitted in Subtask 2 achieved a 1.667 BLEU score.