Набор данных DUC 2004

In most summarization approaches, sentence ranking plays a vital role. Most previous work ex- plored different features and combined them into unified ranking methods. However, it would be imprecise to …...

AbstractSummarization aims to represent source documents by a shortened passage. Existing methods focus on the extraction of key information, but often neglect coherence. Hence the generated summaries suffer from a …...

. We report a series of experiments with different semantic models on top of various statistical models for extractive text summarization. Though statistical models may better cap- ture word co-occurrences …...

AbstractThis paper presents an efficient graph-enhanced approach to multi-document summarization (MDS) with an encoder-decoder Transformer model. This model is based on recent advances in pre-training both encoder and decoder on …...