Abstract / Description of output
We present Team Cher's submission to the ArabicNLP 2024 KSAA-CAD shared task on the reverse dictionary for Arabic---the retrieval of words using definitions as a query. Our approach is based on a multi-task learning framework that jointly learns reverse dictionary, definition generation, and reconstruction tasks. This work explores different tokenization strategies and compares retrieval performance for each embedding architecture. Evaluation using the KSAA-CAD benchmark demonstrates the effectiveness of our multi-task approach and provides insights into the reverse dictionary task for Arabic. It is worth highlighting that we achieve strong performance without using any external resources in addition to the provided training data.
| Original language | English |
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| Title of host publication | Proceedings of The Second Arabic Natural Language Processing Conference |
| Editors | Nizar Habash, Houda Bouamor, Ramy Eskander, Nadi Tomeh, Ibrahim Abu Farha, Ahmed Abdelali, Samia Touileb, Injy Hamed, Yaser Onaizan, Bashar Alhafni, Wissam Antoun, Salam Khalifa, Hatem Haddad, Imed Zitouni, Badr AlKhamissi, Rawan Almatham, Khalil Mrini |
| Publisher | Association for Computational Linguistics |
| Pages | 686-691 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798891761322 |
| DOIs | |
| Publication status | Published - 16 Aug 2024 |
| Event | The Second Arabic Natural Language Processing Conference - Hybrid, Bangkok, Thailand Duration: 16 Aug 2024 → 16 Aug 2024 Conference number: 2 https://arabicnlp2024.sigarab.org/ |
Conference
| Conference | The Second Arabic Natural Language Processing Conference |
|---|---|
| Abbreviated title | ArabicNLP 2024 |
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 16/08/24 → 16/08/24 |
| Internet address |