The Summary Loop: Learning to Write Abstractive Summaries Without Examples

ACL 2020 Philippe LabanAndrew HsiJohn CannyMarti A. Hearst

This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint. It introduces a novel method that encourages the inclusion of key terms from the original document into the summary: key terms are masked out of the original document and must be filled in by a coverage model using the current generated summary... (read more)

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