Papers with transformer-based pointer network
Deep Copycat Networks for Text-to-Text Generation (D19-1)
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| Challenge: | Text-to-text generation tasks require copying words from the input to the output. |
| Approach: | They propose a transformer-based pointer network for text-to-text generation which generates more abstractive summaries and a further extension of this architecture for automatic post-editing. |
| Outcome: | The proposed model outperforms existing models in text-to-text generation tasks and improves translation accuracy. |