Papers by Tal Perl
Low Resource Sequence Tagging using Sentence Reconstruction (2020.acl-main)
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| Challenge: | This work revisits the task of training sequence tagging models with limited resources using transfer learning. |
| Approach: | They propose a new loss that relies on sentence reconstruction from normalized embeddings. |
| Outcome: | The proposed method achieves 0.6 F1 score on Dutch datasets using only one sample. |