Recently, the seq2seqive summarization models have achieved good results on the CNN/Daily Mail dataset. Still, how to improveive methods with extractive methods is a good research direction, since extractive methods have their potentials of exploiting various efficient features for extracting important...
Recently, the seq2seqive summarization models have achieved good results on the CNN/Daily Mail dataset. Still, how to improveive methods with extractive methods is a good research direction, since extractive methods have their potentials of exploiting various efficient features for extracting important...
The abstractive method and extractive method are two main approaches for automatic document summarization. In this paper, to fully integrate the relatednes
structured abstract generator sag mode1 ana1ysis of imrad structure of artic1es and its effect on extractive summarizationAnis the most crucial element that may convince readers to read the complete text of a scientific publication. However, studies show that in terms of organization, readability, ...
We present an extractive summarization model based on the Bert and dynamic memory network. The model based on Bert uses the transformer to extract text features and uses the pre-trained model to construct the sentence embeddings. The model based on Bert