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Integrating Multimodal Information in Large Pretrained Transformers
Recent Transformer-based contextual word representations, including BERT and XLNet, have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the trained contextual models on task-specific datasets has been the key to achieving superior performance downstream. While fin...
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| Veröffentlicht in: | Proc Conf Assoc Comput Linguist Meet |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8005298/ https://ncbi.nlm.nih.gov/pubmed/33782629 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18653/v1/2020.acl-main.214 |
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