Unsupervised Text Summarization
2 papers with code • 2 benchmarks • 1 datasets
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Benchmarks
These leaderboards are used to track progress in Unsupervised Text Summarization
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CORD-19
Most implemented papers
Neural Abstractive Unsupervised Summarization of Online News Discussions
Our novel approach provides a summary that represents the most relevant aspects of a news item that users comment on, incorporating the social context as a source of information to summarize texts in online social networks.
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.
