Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization

EMNLP 2017 Piji LiWai LamLidong BingWeiwei GuoHang Li

When people recall and digest what they have read for writing summaries, the important content is more likely to attract their attention. Inspired by this observation, we propose a cascaded attention based unsupervised model to estimate the salience information from the text for compressive multi-document summarization... (read more)

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