Huanqin Wu

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

2021 · arXiv (Cornell University)

Generating factual-consistent summaries is a challenging task for abstractive summarization. Previous works mainly encode factual information or perform post-correct/rank after decoding. In this paper, we provide a factual-consistent solution from the perspective of contrastive learning, …