Papers by Idan Brusilovsky
AlephBERT: Language Model Pre-training and Evaluation from Sub-Word to Sentence Level (2022.acl-long)
Copied to clipboard
| Challenge: | a recent study shows that large pre-trained language models are not sufficient for Hebrew. |
| Approach: | They propose a large pre-trained language model for Hebrew that recovers morphological segments encoded in contextualized embedding vectors. |
| Outcome: | The proposed model obtains state-of-the-art on all tasks beyond contemporary Hebrew baselines. |