Template Based Neural Summarization Models
ACL 2018 《Retrieve,Rerank and Rewrite: Soft Template Based Neural Summarization》 github[原文中給的已失效，網上也沒有找到源碼 ] 傳統上基於Seq2Seq的摘要生成模型儘管可以得到較高的ROUGE，但是得到的摘要仍存在着很多問題： 模型生成的摘要過短，有3%的摘要包含的詞少於3個 隨着摘要長度的增加，生成性能急
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相關文章
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