深度学习在自然语言处理相关文章

大部分文章来自:
http://www.socher.org/
http://deeplearning.stanford.edu/wiki/index.php/UFLDL_Tutorial

 
Word Embedding Learnig
SENNA原始论文【ACL'07】Fast Semantic Extraction Using a Novel Neural Network Architecture
Ronan Collobert and Jason Weston【ICML'08】A unified architecture for natural language processing:
deep neural networks with multitask learning
Joseph Turian, et al.【ACL'10】Word representations：A simple and general method for semi-supervised
learning
Antoine Bordes, et al. 【AAAI'11】Learning
Structured Embeddings of Knowledge Bases
Ronan Collobert, et al.【JMLR'12】Natural Language Processing (Almost) from Scratch
Eric H. Huang, et al.【ACL'12】Improving Word Representations via Global Context and Multiple
Word Prototypes
T. Mikolov, et al.【HLT-NAACL'13】Linguistic regularities
in continuous spaceword representations
Yoshua Bengio et al,【13】 Representation Learning: A Review and New
Perspectives
 
 
Semi-supervised learning of compact document representations with deep networks
 
Language Model
Y. 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 
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 Networks
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
 
Tutorials
Ronan Collobert and Jason Weston【NIPS'09】Deep Learning for Natural
Language Processing
Richard Socher, et al.【NAACL'13】【ACL'12】Deep
Learning for NLP
Yoshua Bengio【ICML'12】Representation Learning
Leon Bottou, Natural language processing and weak supervision
Yoshua Bengio 2013 tutorial：http://www.iro.umontreal.ca/~bengioy/talks/aaai2013-tutorial.pdf