@inproceedings{azizov-etal-2023-frank-nadi,
title = "Frank at {NADI} 2023 Shared Task: Trio-Based Ensemble Approach for {A}rabic Dialect Identification",
author = "Azizov, Dilshod and
Li, Jiyong and
Liang, Shangsong",
editor = "Sawaf, Hassan and
El-Beltagy, Samhaa and
Zaghouani, Wajdi and
Magdy, Walid and
Abdelali, Ahmed and
Tomeh, Nadi and
Abu Farha, Ibrahim and
Habash, Nizar and
Khalifa, Salam and
Keleg, Amr and
Haddad, Hatem and
Zitouni, Imed and
Mrini, Khalil and
Almatham, Rawan",
booktitle = "Proceedings of ArabicNLP 2023",
month = dec,
year = "2023",
address = "Singapore (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.arabicnlp-1.67",
doi = "10.18653/v1/2023.arabicnlp-1.67",
pages = "637--641",
abstract = "We present our system designed for Subtask 1 in the shared task NADI on Arabic Dialect Identification, which is part of ArabicNLP 2023. In our approach, we utilized models such as: MARBERT, MARBERTv2 (A) and MARBERTv2 (B). Subsequently, we created a majority voting ensemble of these models. We used MARBERTv2 with different hyperparameters, which significantly improved the overall performance of the ensemble model. In terms of performance, our systems achieved a competitive an F1 score of \textbf{84.76}. Overall, our system secured the $5^\text{th}$ position out of 16 participating teams.",
}
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%0 Conference Proceedings
%T Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification
%A Azizov, Dilshod
%A Li, Jiyong
%A Liang, Shangsong
%Y Sawaf, Hassan
%Y El-Beltagy, Samhaa
%Y Zaghouani, Wajdi
%Y Magdy, Walid
%Y Abdelali, Ahmed
%Y Tomeh, Nadi
%Y Abu Farha, Ibrahim
%Y Habash, Nizar
%Y Khalifa, Salam
%Y Keleg, Amr
%Y Haddad, Hatem
%Y Zitouni, Imed
%Y Mrini, Khalil
%Y Almatham, Rawan
%S Proceedings of ArabicNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore (Hybrid)
%F azizov-etal-2023-frank-nadi
%X We present our system designed for Subtask 1 in the shared task NADI on Arabic Dialect Identification, which is part of ArabicNLP 2023. In our approach, we utilized models such as: MARBERT, MARBERTv2 (A) and MARBERTv2 (B). Subsequently, we created a majority voting ensemble of these models. We used MARBERTv2 with different hyperparameters, which significantly improved the overall performance of the ensemble model. In terms of performance, our systems achieved a competitive an F1 score of 84.76. Overall, our system secured the 5^\textth position out of 16 participating teams.
%R 10.18653/v1/2023.arabicnlp-1.67
%U https://aclanthology.org/2023.arabicnlp-1.67
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.67
%P 637-641
Markdown (Informal)
[Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification](https://aclanthology.org/2023.arabicnlp-1.67) (Azizov et al., ArabicNLP-WS 2023)
ACL