Stanford University CS224d_ Deep Learning for Natural Language Processing_files
(Online) Subgradient Methods for Structured Prediction.pdf
4204-dynamic-pooling-and-unfolding-recursive-autoencoders-for-paraphrase-detection.pdf
5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf
A Convolutional Neural Network for Modelling Sentences.pdf
A Neural Network for Factoid Question Answering over Paragraphs.pdf
Deep Visual-Semantic Alignments for Generating Image Descriptions.pdf
Efficient Estimation of word representations in vector space.pdf
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.pdf
Extensions of recurrent neural network language model.pdf
Gated Feedback Recurrent Neural Networks.pdf
Grounded Compositional Semantics for Finding and Describing Images with Sentences.pdf
Improving Word Representations via Global Context and Multiple Word Prototypes.pdf
Long Short-Term Memory.pdf
Opinion Mining with Deep Recurrent Neural Networks.pdf
Parsing with Compositional Vector Grammars.pdf
Practical recommendations for gradient-based training of deep architectures.pdf
Recurrent neural network based language model.pdf
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank.pdf
SocherLinNgManning_ICML2011.pdf
Stanford University CS224d_ Deep Learning for Natural Language Processing.html
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