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AraFinNLP 2024: The First Arabic Financial NLP Shared Task

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arxiv 2407.09818 v1 pith:NPDJ4ZXY submitted 2024-07-13 cs.CL

AraFinNLP 2024: The First Arabic Financial NLP Shared Task

Sanad Malaysha , Mo El-Haj , Saad Ezzini , Mohammed Khalilia , Mustafa Jarrar , Sultan Almujaiwel , Ismail Berrada , Houda Bouamor This is my paper
classification cs.CL
keywords arabicfinancialsharedsubtasktaskbankingparticipatedteam
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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