Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature (2022.acl-long)
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| Challenge: | Existing solutions for multi-document summarization ignore potential summary-relevant contents, causing problems in the medical domain. |
| Approach: | They propose a discriminative marginalized probabilistic method to generate a multi-document summary from a cluster of topic-related medical documents using token probability marginalization. |
| Outcome: | The proposed method outperforms the current state-of-the-art on a biomedical dataset for multi-document summarization. |
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