“Text-2014-12-18”版本间的差异
来自cslt Wiki
（→CNN in NLP） |
（→blog） |
||
| 第16行： | 第16行： | ||
* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html] | * Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html] | ||
==blog== | ==blog== | ||
| − | * Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html] | + | * Neural Networks (Deep Learning) , NLP and Text Mining[http://www.zhizhihu.com/html/y2014/4662.html]ppt[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ea/PijiLi-dl-tm.pdf] |
2014年12月18日 (四) 03:54的版本
CNN in NLP
meeting ppt
Conference PPT
- EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [1]
- NIPS2014 PPT(Natural Language Understanding in a Continuous Space)[2]
- A Convolutional Neural Network for Modelling Sentences [3](acl2014)
- Convolutional Neural Network Architectures for Matching Natural Language Sentences[4](nips 2014)
- Learning Semantic Representations Using Convolutional Neural Networks for Web Search[5]
- Convolutional Neural Networks for Sentence Classification[6](EMNLP2014)
- Relation Classification via Convolutional Deep Neural Network.“ COLING 2014 Best Paper[7]
cnn code
- Convolutional Neural Networks (LeNet) [8]
