Papers with temporal attention
Temporal Attention for Language Models (2022.findings-naacl)
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| Challenge: | Pretrained language models are trained on corpora derived from the web, but ignore this information. |
| Approach: | They propose a time-aware self-attention mechanism that captures time-specific contextualized word representations and allows the transformer to capture this information. |
| Outcome: | The proposed model achieves state-of-the-art on three datasets in different languages (English, German, and Latin) that vary in time, size, and genre. |