Papers by Umanga Bista
SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy (2020.findings-emnlp)
Copied to clipboard
| Challenge: | Existing work on multi-document summarization has focused on generic summarizing of information present in each document set. |
| Approach: | They propose a technique for generic and update summarization based on kernel two-sample testing. |
| Outcome: | The proposed technique exceeds the current state-of-the-art on two datasets. |