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Found 2 papers, 1 papers with code
Pre-training Meets Clustering: A Hybrid Extractive Multi-document Summarization Model
Outcomes validate that our proposed model shows greatly enhanced performance as compared to the existent unsupervised state-of-the-art approaches.
Ranked #1 on
Extractive Text Summarization
on DUC 2004
CovSumm: an unsupervised transformer-cum-graph-based hybrid document summarization model for CORD-19
To address information overload in COVID-19 scientific literature, the study presents a novel hybrid model named CovSumm, an unsupervised graph-based hybrid approach for single-document summarization, that is evaluated on the CORD-19 dataset.
Ranked #1 on
Unsupervised Text Summarization
on CORD-19
