Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment (2021.findings-emnlp)
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| Challenge: | Existing methods for meeting summary have limited the ability to deal with long-term dependency. |
| Approach: | They propose a hierarchical transformer encoder-decoder network with multi-task pre-training to capture key sentences at word level and generate them at word-level. |
| Outcome: | The proposed model is superior to the previous methods in meeting summary datasets AMI and ICSI. |
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