Papers with single-document NLP tasks

1 papers
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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