[EMNLP2015]A Neural Attention Model for Sentence Summarization
圖片的高明之處就是形象地說明摘要的效果。壓縮後的句子的每一個詞對應原句子的哪些詞。 關於句子摘要目前有兩種方法：extractive summarization 和abstractive summarization 每種方法的特點以及以往的做法： extractive summarization：crop out and stitch together, deletion-based senten
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相關文章
- 1. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 2. 【論文】A neural attention model for abstractive sentence summarization 閱讀筆記
- 3. A Neural Attention Model for Abstractive Sentence Summarization 閱讀筆記
- 4. [論文速覽]A Neural Attention Model for Sentence Summarization
- 5. 《A Neural Attention Model for Abstractive Sentence Summarization》論文筆記
- 6. Taming Recurrent Neural Networks for Better Summarization
- 7. 《ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs》
- 8. #Paper Reading# Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
- 9. SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documen
- 10. A Deep Reinforced Model for Abstractive Summarization