“Text-2014-12-18”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
related paper
Lr讨论 | 贡献
blog
 
(相同用户的5个中间修订版本未显示)
第1行: 第1行:
 
=CNN in NLP=
 
=CNN in NLP=
==PPT==
+
==meeting ppt==
 +
==Conference PPT==
 
* EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014_slides.pdf]
 
* EMNLP2014 Convolutional Neural Networks for Sentence Classi�cation [https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014_slides.pdf]
 
* NIPS2014 PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]
 
* NIPS2014 PPT(Natural Language Understanding in a Continuous Space)[http://lxmls.it.pt/2014/blunsom-lxmls.pdf]
第10行: 第11行:
 
* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]
 
* Learning Semantic Representations Using Convolutional  Neural Networks for Web Search[http://wwwconference.org/proceedings/www2014/companion/p373.pdf]
 
* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)
 
* Convolutional Neural Networks for Sentence Classification[https://files.nyu.edu/yhk255/public/data/Kim_EMNLP_2014.pdf](EMNLP2014)
 +
* Relation Classification via Convolutional Deep Neural Network.“ COLING 2014 Best Paper[http://www.nlpr.ia.ac.cn/cip/liukang.files/coling2014.pdf]
 +
 +
==cnn code==
 +
* Convolutional Neural Networks (LeNet) [http://deeplearning.net/tutorial/lenet.html]
 +
==blog==
 +
* 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]
 +
:* it is a good summary for word2vec in nlp from 香港中文大学

2014年12月18日 (四) 03:55的最后版本

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]
  •  

related paper

  • 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]

blog

  • Neural Networks (Deep Learning) , NLP and Text Mining[9]ppt[10]
  • it is a good summary for word2vec in nlp from 香港中文大学