SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders

2 Oct 2019 Peter J. Liu Yu-An Chung Jie Ren

We propose an end-to-end neural model for zero-shot abstractive text summarization of paragraphs, and introduce a benchmark task, ROCSumm, based on ROCStories, a subset for which we collected human summaries. In this task, five-sentence stories (paragraphs) are summarized with one sentence, using human summaries only for evaluation... (read more)

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