CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

no code implementations • 2 Dec 2021 • Wei Liu, Huanqin Wu, Wenjing Mu, Zhen Li, Tao Chen, Dan Nie

We propose CO2Sum (Contrastive for Consistency), a contrastive learning scheme that can be easily applied on sequence-to-sequence models for factual-consistent abstractive summarization, proving that the model can be fact-aware without modifying the architecture.

Abstractive Text Summarization Contrastive Learning