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原文链接：http://www.xperseverance.net/blogs/2013/07/2124/ 大部分文章来自:http://www.socher.org/http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial包括从他们里面的论文里找到的related work  Word Embedding LearnigSENNA原始论文【ACL'07】Fast Semantic Extraction Using a Novel Neural Network ArchitectureRonan Collobert and Jason Weston【ICML'08】A unified architecture for natural language processing: deep neural networks with multitask learningJoseph Turian, et al.【ACL'10】Word representations：A simple and general method for semi-supervised learningAntoine Bordes, et al. 【AAAI'11】Learning Structured Embeddings of Knowledge BasesRonan Collobert, et al.【JMLR'12】Natural Language Processing (Almost) from ScratchEric H. Huang, et al.【ACL'12】Improving Word Representations via Global Context and Multiple Word PrototypesT. Mikolov, et al.【HLT-NAACL'13】Linguistic regularities in continuous spaceword representationsYoshua Bengio et al,【13】 Representation Learning: A Review and New Perspectives    Semi-supervised learning of compact document representations with deep networks  Language ModelY. Bengio, et al. Neural probabilistic language model博士论文：Statistical Language Models based on Neural Networks 这人貌似在ICASSP上有个文章T Mikolov Statistical Language Models Based on Neural Networks  Sentiment【HLT'11】Learning word vectors for sentiment analysis【EMNLP'11】Semi-supervised recursive autoencoders for predicting sentiment distributions【NAACL'13】 Discourse Connectors for Latent Subjectivity in Sentiment Analysis  other NLP以下内容见socher主页Parsing with Compositional Vector Grammars 目测今年ACL best paper候选哦Better Word Representations with Recursive Neural Networks for Morphology
Semantic Compositionality through Recursive Matrix-Vector Spaces
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Parsing Natural Scenes and Natural Language with Recursive Neural Networks
Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural NetworksJoint Learning of Words and Meaning Representations for Open-Text Semantic Parsing  TutorialsRonan Collobert and Jason Weston【NIPS'09】Deep Learning for Natural Language ProcessingRichard Socher, et al.【NAACL'13】【ACL'12】Deep Learning for NLPYoshua Bengio【ICML'12】Representation LearningLeon Bottou, Natural language processing and weak supervisionYoshua Bengio最新AAAI 2013 tutorial：http://www.iro.umontreal.ca/~bengioy/talks/aaai2013-tutorial.pdf
标题名称：转DeepLearningforNLP文章列举-创新互联
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