論文閱讀 《Text Summarization with Pretrained Encoders》
看了一篇摘要的文章，用BERT去做摘要，主要展示了預訓練模型可以給文本摘要帶來提升，對於生成式摘要和抽取式摘要都做了實驗，生成式摘要用BERT做Encoder，抽取式摘要直接把BERT當embedding用
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相關文章
- 1. [NLP&論文]Text Summarization with Pretrained Encoders論文翻譯
- 2. 《ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators》（ICLR-2020）論文閱讀
- 3. 論文：Variational Graph Auto-Encoders閱讀筆記
- 4. 論文閱讀：《Pretraining-Based Natural Language Generation for Text Summarization》
- 5. 【論文閱讀】Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connection
- 6. 論文閱讀：Text-to-Text Pre-Training for Data-to-Text Tasks
- 7. 【論文閱讀】Get to the point :summarization with pointer-generator networks
- 8. 論文閱讀筆記《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
- 9. [論文閱讀]《A Template-based Abstractive Meeting Summarization》
- 10. 論文閱讀：Keywords-Guided Abstractive Sentence Summarization