@inproceedings{qaddoumi-2023-abed,
title = "Abed at {KSAA}-{RD} Shared Task: Enhancing {A}rabic Word Embedding with Modified {BERT} Multilingual",
author = "Qaddoumi, Abdelrahim",
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-1.42",
doi = "10.18653/v1/2023.arabicnlp-1.42",
pages = "472--476",
abstract = "This paper presents a novel approach to the Arabic Reverse Dictionary Shared Task at WANLP 2023 by leveraging the BERT Multilingual model and introducing modifications augmentation and using a multi attention head. The proposed method aims to enhance the performance of the model in understanding and generating word embeddings for Arabic definitions, both in monolingual and cross-lingual contexts. It achieved good results compared to benchmark and other models in the shared task 1 and 2.",
}
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<abstract>This paper presents a novel approach to the Arabic Reverse Dictionary Shared Task at WANLP 2023 by leveraging the BERT Multilingual model and introducing modifications augmentation and using a multi attention head. The proposed method aims to enhance the performance of the model in understanding and generating word embeddings for Arabic definitions, both in monolingual and cross-lingual contexts. It achieved good results compared to benchmark and other models in the shared task 1 and 2.</abstract>
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%0 Conference Proceedings
%T Abed at KSAA-RD Shared Task: Enhancing Arabic Word Embedding with Modified BERT Multilingual
%A Qaddoumi, Abdelrahim
%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 qaddoumi-2023-abed
%X This paper presents a novel approach to the Arabic Reverse Dictionary Shared Task at WANLP 2023 by leveraging the BERT Multilingual model and introducing modifications augmentation and using a multi attention head. The proposed method aims to enhance the performance of the model in understanding and generating word embeddings for Arabic definitions, both in monolingual and cross-lingual contexts. It achieved good results compared to benchmark and other models in the shared task 1 and 2.
%R 10.18653/v1/2023.arabicnlp-1.42
%U https://aclanthology.org/2023.arabicnlp-1.42
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.42
%P 472-476
Markdown (Informal)
[Abed at KSAA-RD Shared Task: Enhancing Arabic Word Embedding with Modified BERT Multilingual](https://aclanthology.org/2023.arabicnlp-1.42) (Qaddoumi, ArabicNLP-WS 2023)
ACL