A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification
记录一下这篇论文。 网络结构如下： 有3个阶段：第一个阶段是使用CNN生成短语向量，第二个阶段结合短语向量和词向量，并使用软对齐的RNN来生成考虑词顺序的句向量，第三个阶段使用句向量来做类别预测。 1. CNN句向量 是句子中第i个单词对应的k维的词向量，长度为N的句子可以看作列方向上的词向量的拼接。 使用一系列卷积核来学习不同长度的短语表示。 表示第i步的短语向量，包含了所有以结尾的短语。 （短
相关文章
- 1. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
- 2. Convolutional Neural Networks for Sentence Classification
- 3. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 4. [EMNLP2015]A Neural Attention Model for Sentence Summarization
- 5. Convolutional Neural Network For Sentence Classification
- 6. 《Convolutional Neural Networks for Sentence Classification》
- 7. A Simple but Effective Classification Model for Grammatical Error Correction
- 8. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 9. 《A Neural Attention Model for Abstractive Sentence Summarization》论文笔记
- 10. 【论文】A neural attention model for abstractive sentence summarization 阅读笔记
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Lua for 循环 - Lua 教程
- • 常用的分布式事务解决方案
- • 为了进字节跳动，我精选了29道Java经典算法题，带详细讲解
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. 【Paper】TextCNN：Convolutional Neural Networks for Sentence Classification
- 2. Convolutional Neural Networks for Sentence Classification
- 3. #Paper Reading# A Neural Attention Model for Abstractive Sentence Summarization
- 4. [EMNLP2015]A Neural Attention Model for Sentence Summarization
- 5. Convolutional Neural Network For Sentence Classification
- 6. 《Convolutional Neural Networks for Sentence Classification》
- 7. A Simple but Effective Classification Model for Grammatical Error Correction
- 8. [NLP-CNN] Convolutional Neural Networks for Sentence Classification -2014-EMNLP
- 9. 《A Neural Attention Model for Abstractive Sentence Summarization》论文笔记
- 10. 【论文】A neural attention model for abstractive sentence summarization 阅读笔记