“Reading Paper”版本间的差异

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word vector
 
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* word2vec tool
 
* word2vec tool
 
:* word vector tool for text classification, text clustering or information retrieval[http://sourceforge.net/projects/wvtool/]
 
:* word vector tool for text classification, text clustering or information retrieval[http://sourceforge.net/projects/wvtool/]
:* google word2ve[code.google.com/p/word2vec/]
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:* google word2ve[http://code.google.com/p/word2vec/]
 +
* document vector[http://radimrehurek.com/2014/12/doc2vec-tutorial/?utm_source=rss&utm_medium=rss&utm_campaign=doc2vec-tutorial]
 +
:* genSim[https://github.com/piskvorky/gensim/] new function
 +
* Deep Learning for Java[http://deeplearning4j.org/]
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:* word2vec[http://deeplearning4j.org/word2vec.html]
  
 
==QA==
 
==QA==
 
[[2014-08-22-qalr]]
 
[[2014-08-22-qalr]]
 +
 +
[[random reading]]
  
 
==NN & RNN LM==
 
==NN & RNN LM==
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*[[2014-8-31]]
 
*[[2014-8-31]]
 
*[[2014-10-9]]
 
*[[2014-10-9]]
 +
*[[Approaches to convert RNNLM to BNLM]]
  
 
==document classification==
 
==document classification==
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==word vector==
 
==word vector==
 
* [[useful tutorial]]
 
* [[useful tutorial]]
 +
* [[2014-10-20-word2vec|Learning Word Vectors for Sentiment Analysis]]
 +
* deep learing in nlp
 +
:* distributed representations for compositional semantics [http://arxiv.org/pdf/1411.3146.pdf]
 +
:* Deep Learning for Natural Language Processing and Machine Translation [http://cl.naist.jp/~kevinduh/notes/cwmt14tutorial.pdf]
 +
*Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews[http://arxiv.org/abs/1412.5335]
 +
:*使用RNN和PV在情感分析效果不错,代码[https://github.com/mesnilgr/iclr15]
  
 
==learn report==
 
==learn report==
 
[[2014-10-19| basic tasks of speech processing]]
 
[[2014-10-19| basic tasks of speech processing]]
 +
==learn process==
 +
[[Information Retrieval]]
 +
 +
[[nlp class]]
 +
 +
[[nlp tool]]
  
 
==Some Things to remember==
 
==Some Things to remember==
* weibo_FDU [http://weibo.com/2101692131]
+
* video lectures [http://videolectures.net/]
 +
* free books [http://www.justfreebooks.info/]
 +
* 推荐系统的tutorial slides [http://alex.smola.org/teaching/berkeley2012/slides/8_Recommender.pdf][http://www.slideshare.net/xamat/recommender-systems-machine-learning-summer-school-2014-cmu]
 +
* understanding-lbfgs [http://aria42.com/blog/2014/12/understanding-lbfgs/]
 +
* ml blog[http://www.cs.waikato.ac.nz/~bernhard/good-machine-learning-blogs.html][http://www.quora.com/What-are-the-best-machine-learning-blogs-or-resources-available]
 +
* 公开课[http://52opencourse.com/]
 +
* 机器学习日报[http://ml.memect.com/]
 +
:* 包含大量的学习资源
 +
* Advanced Machine Learning[http://www.seas.harvard.edu/courses/cs281/]

2014年12月29日 (一) 07:58的最后版本

tool

  • word2vec tool
  • word vector tool for text classification, text clustering or information retrieval[1]
  • google word2ve[2]
  • document vector[3]
  •  genSim[4] new function
  • Deep Learning for Java[5]

QA

2014-08-22-qalr

random reading

NN & RNN LM

document classification

word vector

  • distributed representations for compositional semantics [7]
  • Deep Learning for Natural Language Processing and Machine Translation [8]
  • Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews[9]
  • 使用RNN和PV在情感分析效果不错,代码[10]

learn report

basic tasks of speech processing

learn process

Information Retrieval

nlp class

nlp tool

Some Things to remember

  •  包含大量的学习资源
  • Advanced Machine Learning[20]