deep learning in NLP

Deep Learning in NLP （一）詞向量和語言模型

http://licstar.net/archives/328

Deep Learning方向的paper整理

http://www.douban.com/note/382064119/

【1】 word2vec Project Home

第一手的資料，代碼：http://word2vec.googlecode.com/svn/trunk/，Papers：

[1]  Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean.  Efficient Estimation of Word Representations in Vector Space . In Proceedings of Workshop at ICLR, 2013.

[2]  Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean.  Distributed Representations of Words and Phrases and their Compositionality . In Proceedings of NIPS, 2013.

[3]  Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig.  Linguistic Regularities in Continuous Space Word Representations . In Proceedings of NAACL HLT, 2013.

【2】 Deep Learning in NLP （一）詞向量和語言模型

licstar 的經典之作，講解了主要的NN相關語言模型。

【3】  Deep Learning實戰之word2vec

有道幾個人寫的word2vec的解析文檔，從基本的詞向量/統計語言模型->NNLM->Log-Linear/Log-Bilinear->層次化Log-Bilinear，到CBOW和Skip-gram模型，再到word2vec的各種tricks，公式推導與代碼齊飛，基本上是網上關於word2vec資料的大合集啦，對word2vec感興趣的童鞋可以看下。(@王曉偉alex)

word2vec傻瓜剖析

http://xiaoquanzi.net/?p=156

1

Word2vec在事件挖掘中的調研   session 應用

http://blog.csdn.net/shuishiman/article/details/20769437