Improving Natural Language Inference in Arabic Using Transformer Models and Linguistically Informed Pre-Training
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Mohammad Majd Saad Al Deen, Maren Pielka, Jörn Hees, Bouthaina Soulef Abdou, Rafet Sifa |
| Parent Title (English): | 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 05-08 December 2023, Mexico City, Mexico |
| Number of pages: | 5 |
| First Page: | 318 |
| Last Page: | 322 |
| ISBN: | 978-1-6654-3065-4 |
| DOI: | https://doi.org/10.1109/SSCI52147.2023.10371891 |
| Publisher: | IEEE |
| Date of first publication: | 2024/01/01 |
| Funding: | This research has been partially funded by the Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr-Institute for Machine Learning and Artificial Intelligence. |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) | |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
| Entry in this database: | 2024/01/09 |
