KSAA-RD Shared Task: Arabic Reverse Dictionary
Rawan Al-Matham, Waad Alshammari, Abdulrahman AlOsaimy, Sarah Alhumoud, Asma Wazrah, Afrah Altamimi, Halah Alharbi, Abdullah Alaifi
Abstract
This paper outlines the KSAA-RD shared task, which aims to develop a Reverse Dictionary (RD) system for the Arabic language. RDs allow users to find words based on their meanings or definition. This shared task, KSAA-RD, includes two subtasks: Arabic RD and cross-lingual reverse dictionaries (CLRD). Given a definition (referred to as a “gloss”) in either Arabic or English, the teams compete to find the most similar word embeddings of their corresponding word. The winning team achieved 24.20 and 12.70 for RD and CLRD, respectively in terms of rank metric. In this paper, we describe the methods employed by the participating teams and offer an outlook for KSAA-RD.- Anthology ID:
- 2023.arabicnlp-1.39
- Volume:
- Proceedings of ArabicNLP 2023
- Month:
- December
- Year:
- 2023
- Address:
- Singapore (Hybrid)
- Editors:
- Hassan Sawaf, Samhaa El-Beltagy, Wajdi Zaghouani, Walid Magdy, Ahmed Abdelali, Nadi Tomeh, Ibrahim Abu Farha, Nizar Habash, Salam Khalifa, Amr Keleg, Hatem Haddad, Imed Zitouni, Khalil Mrini, Rawan Almatham
- Venues:
- ArabicNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 450–460
- Language:
- URL:
- https://aclanthology.org/2023.arabicnlp-1.39
- DOI:
- 10.18653/v1/2023.arabicnlp-1.39
- Bibkey:
- Cite (ACL):
- Rawan Al-Matham, Waad Alshammari, Abdulrahman AlOsaimy, Sarah Alhumoud, Asma Wazrah, Afrah Altamimi, Halah Alharbi, and Abdullah Alaifi. 2023. KSAA-RD Shared Task: Arabic Reverse Dictionary. In Proceedings of ArabicNLP 2023, pages 450–460, Singapore (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- KSAA-RD Shared Task: Arabic Reverse Dictionary (Al-Matham et al., ArabicNLP-WS 2023)
- Copy Citation:
- PDF:
- https://aclanthology.org/2023.arabicnlp-1.39.pdf
Export citation
@inproceedings{al-matham-etal-2023-ksaa,
title = "{KSAA}-{RD} Shared Task: {A}rabic Reverse Dictionary",
author = "Al-Matham, Rawan and
Alshammari, Waad and
AlOsaimy, Abdulrahman and
Alhumoud, Sarah and
Wazrah, Asma and
Altamimi, Afrah and
Alharbi, Halah and
Alaifi, Abdullah",
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-1.39",
doi = "10.18653/v1/2023.arabicnlp-1.39",
pages = "450--460",
abstract = "This paper outlines the KSAA-RD shared task, which aims to develop a Reverse Dictionary (RD) system for the Arabic language. RDs allow users to find words based on their meanings or definition. This shared task, KSAA-RD, includes two subtasks: Arabic RD and cross-lingual reverse dictionaries (CLRD). Given a definition (referred to as a {``}gloss{''}) in either Arabic or English, the teams compete to find the most similar word embeddings of their corresponding word. The winning team achieved 24.20 and 12.70 for RD and CLRD, respectively in terms of rank metric. In this paper, we describe the methods employed by the participating teams and offer an outlook for KSAA-RD.",
}
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%0 Conference Proceedings %T KSAA-RD Shared Task: Arabic Reverse Dictionary %A Al-Matham, Rawan %A Alshammari, Waad %A AlOsaimy, Abdulrahman %A Alhumoud, Sarah %A Wazrah, Asma %A Altamimi, Afrah %A Alharbi, Halah %A Alaifi, Abdullah %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 al-matham-etal-2023-ksaa %X This paper outlines the KSAA-RD shared task, which aims to develop a Reverse Dictionary (RD) system for the Arabic language. RDs allow users to find words based on their meanings or definition. This shared task, KSAA-RD, includes two subtasks: Arabic RD and cross-lingual reverse dictionaries (CLRD). Given a definition (referred to as a “gloss”) in either Arabic or English, the teams compete to find the most similar word embeddings of their corresponding word. The winning team achieved 24.20 and 12.70 for RD and CLRD, respectively in terms of rank metric. In this paper, we describe the methods employed by the participating teams and offer an outlook for KSAA-RD. %R 10.18653/v1/2023.arabicnlp-1.39 %U https://aclanthology.org/2023.arabicnlp-1.39 %U https://doi.org/10.18653/v1/2023.arabicnlp-1.39 %P 450-460
Markdown (Informal)
[KSAA-RD Shared Task: Arabic Reverse Dictionary](https://aclanthology.org/2023.arabicnlp-1.39) (Al-Matham et al., ArabicNLP-WS 2023)
- KSAA-RD Shared Task: Arabic Reverse Dictionary (Al-Matham et al., ArabicNLP-WS 2023)
ACL
- Rawan Al-Matham, Waad Alshammari, Abdulrahman AlOsaimy, Sarah Alhumoud, Asma Wazrah, Afrah Altamimi, Halah Alharbi, and Abdullah Alaifi. 2023. KSAA-RD Shared Task: Arabic Reverse Dictionary. In Proceedings of ArabicNLP 2023, pages 450–460, Singapore (Hybrid). Association for Computational Linguistics.