https://arxiv.org/abs/2007.08954
| [2007.08954] SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression – arXiv.org Obtaining training data for multi-document summarization (MDS) is time consuming and resource-intensive, so recent neural models can only be trained for limited domains. In this paper, we propose SummPip: an unsupervised method for multi-document summarization, in which we convert the original documents to a sentence graph, taking both linguistic and deep representation into account, then … arxiv.org |