Papers by Eric Crawford
BanditSum: Extractive Summarization as a Contextual Bandit (D18-1)
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| Challenge: | Existing methods for extractive summarization are heuristically generated and require a set of binary labels to be selected. |
| Approach: | They propose a method for training neural networks to perform single-document extractive summarization without heuristically-generated extractive labels. |
| Outcome: | The proposed method achieves better ROUGE scores than the state-of-the-art methods and significantly fewer update steps than competing approaches. |