In data science and especially Natural Language Processing, summarization is, and always has been, a subject of intense interest. While text summarization methods have been around for some time, recent years have seen significant developments in natural language processing and deep learning. There is...
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) model: analysis of IMRAD structure of articles and its effect on extractive summarizationdoi:10.1007/s00799-024-00402-8AbstractsReadabilityScholarly communicationAutomatic text summarizationAn abstract is the most crucial element that may convince readers to read the ...