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Human experts write summaries using different techniques, includingextracting a sentence from the document and rewriting it, or fusing variousinformation from the document to abstract it. These techniques are flexible andthus difficult to be imitated by any single method. To address this issue, wepropose an adaptive model, GEMINI, that integrates a rewriter and a generatorto mimic the sentence rewriting and abstracting techniques, respectively.GEMINI adaptively chooses to rewrite a specific document sentence or generate asummary sentence from scratch. Experiments demonstrate that our adaptiveapproach outperforms the pure abstractive and rewriting baselines on threebenchmark datasets, achieving the best results on WikiHow. Interestingly,empirical results show that the human summary styles of summary sentences areconsistently predictable given their context. We release our code and model at\url{https://github.com/baoguangsheng/gemini}.

GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization