SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documen
model 主要贡献 提出了一种基于递归神经网络RNN的抽取式摘要的序列模型 可解释强-可视化‘ 对抽取模型进行抽象化的训练，该模型可以单独对人工生成的参考摘要进行训练，从而消除了句子级抽取’标签的需求。 一种基于两层RNN的序列分类器：底层在每个句子中的word level上工作，而顶层运行在sentence level 。双指向箭头表示双向RNN。 1和0的顶层是基于sigmoid的分类层，它
相关文章
- 1. Taming Recurrent Neural Networks for Better Summarization
- 2. Development of Neural Network Models in Text Summarization - 4
- 3. (zhuan) Recurrent Neural Network
- 4. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 5. [EMNLP2015]A Neural Attention Model for Sentence Summarization
- 6. A Critical Review of Recurrent Neural Networks for Sequence Learning
- 7. 读论文2018 ACL A unified model for extractive and abstractive summarization using inconsistency loss
- 8. 【阅读笔记】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》
- 9. 论文笔记：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
- 10. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction阅读笔记
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Lua for 循环 - Lua 教程
- • Flink 数据传输及反压详解
- • YAML 入门教程
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Taming Recurrent Neural Networks for Better Summarization
- 2. Development of Neural Network Models in Text Summarization - 4
- 3. (zhuan) Recurrent Neural Network
- 4. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 5. [EMNLP2015]A Neural Attention Model for Sentence Summarization
- 6. A Critical Review of Recurrent Neural Networks for Sequence Learning
- 7. 读论文2018 ACL A unified model for extractive and abstractive summarization using inconsistency loss
- 8. 【阅读笔记】《ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation》
- 9. 论文笔记：ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
- 10. A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction阅读笔记