Papers with QF-MDS
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization (2020.coling-main)
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| Challenge: | Existing methods to generate abstractive summarizations are lacking labeled training datasets. |
| Approach: | They propose a weakly supervised approach to generate a strong summary from a set of documents based on a query. |
| Outcome: | The proposed approach sets a new state-of-the-art in terms of evaluation metrics on the Document Understanding Conferences dataset. |