“Reading Paper”版本间的差异

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word vector
 
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==tool==
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* word2vec tool
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:* word vector tool for text classification, text clustering or information retrieval[http://sourceforge.net/projects/wvtool/]
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:* google word2ve[http://code.google.com/p/word2vec/]
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* document vector[http://radimrehurek.com/2014/12/doc2vec-tutorial/?utm_source=rss&utm_medium=rss&utm_campaign=doc2vec-tutorial]
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:* genSim[https://github.com/piskvorky/gensim/] new function
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* Deep Learning for Java[http://deeplearning4j.org/]
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:* word2vec[http://deeplearning4j.org/word2vec.html]
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==QA==
 
==QA==
 
[[2014-08-22-qalr]]
 
[[2014-08-22-qalr]]
  
==RNN==
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[[random reading]]
===2014-8-31===
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1. "Efficient Estimation of Word Representations in Vector Space".  Tomas Mikolov
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2. Distributed Representations ofWords and Phrases and their Compositionality. Tomas Mikolov
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==NN & RNN LM==
 
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*[[2013-12-3]]
3. Deep Learning Embeddings for Discontinuous Linguistic Units
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*[[2014-8-31]]
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*[[2014-10-9]]
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*[[Approaches to convert RNNLM to BNLM]]
  
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==document classification==
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* [[2014-9-10]]
 
==word vector==
 
==word vector==
===2014-9-4===
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* [[useful tutorial]]
*useful ppt for acl [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f8/AclVectorTutorial.pdf]
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* [[2014-10-20-word2vec|Learning Word Vectors for Sentiment Analysis]]
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* deep learing in nlp
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:* distributed representations for compositional semantics [http://arxiv.org/pdf/1411.3146.pdf]
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:* Deep Learning for Natural Language Processing and Machine Translation [http://cl.naist.jp/~kevinduh/notes/cwmt14tutorial.pdf]
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*Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews[http://arxiv.org/abs/1412.5335]
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:*使用RNN和PV在情感分析效果不错,代码[https://github.com/mesnilgr/iclr15]
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==learn report==
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[[2014-10-19| basic tasks of speech processing]]
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==learn process==
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[[Information Retrieval]]
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[[nlp class]]
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[[nlp tool]]
  
 
==Some Things to remember==
 
==Some Things to remember==
* weibo_FDU [http://weibo.com/2101692131]
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* video lectures [http://videolectures.net/]
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* free books [http://www.justfreebooks.info/]
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* 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]
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* understanding-lbfgs [http://aria42.com/blog/2014/12/understanding-lbfgs/]
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* 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]
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* 公开课[http://52opencourse.com/]
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* 机器学习日报[http://ml.memect.com/]
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:* 包含大量的学习资源
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* 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]