@inproceedings{sibaee-etal-2023-qamosy,
title = "Qamosy at {A}rabic Reverse Dictionary shared task: Semi Decoder Architecture for Reverse Dictionary with {SBERT} Encoder",
author = "Sibaee, Serry and
Ahmad, Samar and
Khurfan, Ibrahim and
Sabeeh, Vian and
Bahaaulddin, Ahmed and
Belhaj, Hanan and
Alharbi, 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-1.41",
doi = "10.18653/v1/2023.arabicnlp-1.41",
pages = "467--471",
abstract = "A reverse dictionary takes a descriptive phrase of a particular concept and returns words with definitions that align with that phrase. While many reverse dictionaries cater to languages such as English and are readily available online or have been developed by researchers, there is a notable lack of similar resources for the Arabic language. This paper describes our participation in the Arabic Reverse Dictionary shared task. Our proposed method consists of two main steps: First, we convert word definitions into multidimensional vectors. Then, we train these encoded vectors using the Semi-Decoder model for our target task. Our system secured 2nd place based on the Rank metric for both embeddings (Electra and Sgns).",
}
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%0 Conference Proceedings
%T Qamosy at Arabic Reverse Dictionary shared task: Semi Decoder Architecture for Reverse Dictionary with SBERT Encoder
%A Sibaee, Serry
%A Ahmad, Samar
%A Khurfan, Ibrahim
%A Sabeeh, Vian
%A Bahaaulddin, Ahmed
%A Belhaj, Hanan
%A Alharbi, 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 sibaee-etal-2023-qamosy
%X A reverse dictionary takes a descriptive phrase of a particular concept and returns words with definitions that align with that phrase. While many reverse dictionaries cater to languages such as English and are readily available online or have been developed by researchers, there is a notable lack of similar resources for the Arabic language. This paper describes our participation in the Arabic Reverse Dictionary shared task. Our proposed method consists of two main steps: First, we convert word definitions into multidimensional vectors. Then, we train these encoded vectors using the Semi-Decoder model for our target task. Our system secured 2nd place based on the Rank metric for both embeddings (Electra and Sgns).
%R 10.18653/v1/2023.arabicnlp-1.41
%U https://aclanthology.org/2023.arabicnlp-1.41
%U https://doi.org/10.18653/v1/2023.arabicnlp-1.41
%P 467-471
Markdown (Informal)
[Qamosy at Arabic Reverse Dictionary shared task: Semi Decoder Architecture for Reverse Dictionary with SBERT Encoder](https://aclanthology.org/2023.arabicnlp-1.41) (Sibaee et al., ArabicNLP-WS 2023)
ACL