Несупервизируемое экстрактивное суммирование

We propose a novel unsupervised extractive approach for summarizing online reviews by ex- ploiting review helpfulness ratings. In addition to using the helpfulness ratings for review-level filtering, we suggest using …...

Automated text summarization is aimed at extracting essential information from orig- inal text and presenting it in a minimal, often predefined, number of words. In this paper, we introduce a …...

AbstractUnsupervised extractive document summarization aims to select important sentences from a document without using labeled summaries during training. Existing methods are mostly graph-based with sentences as nodes and edge weights …...

Unsupervised extractive summarization aims to extract salient sentences from documents without labeled corpus. Existing methods are mostly graph-based by computing sentence centrality. These methods usually tend to select sentences within …...

AbstractUnsupervised extractive summarization has recently gained importance since it does not require labeled data. Among unsupervised methods, graph-based approaches have achieved outstanding results. These methods represent each document by a …...