Large Scale Multi-label Text Classification with Semantic Word Vectors
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[1] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[2] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[3] Georgios Balikas,et al. An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition , 2015, BMC Bioinformatics.
[4] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[5] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[6] Xindong Wu,et al. Compressed labeling on distilled labelsets for multi-label learning , 2012, Machine Learning.
[7] Johannes Fürnkranz,et al. Large-Scale Multi-label Text Classification - Revisiting Neural Networks , 2013, ECML/PKDD.
[8] Jesse Read. Advances in Multi-label Classification , 2011 .
[9] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[10] Sebastián Ventura,et al. A Tutorial on Multilabel Learning , 2015, ACM Comput. Surv..
[11] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[12] Lukás Burget,et al. Extensions of recurrent neural network language model , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[13] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[14] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.