Recursive neural network

A recursive neural network (RNN) is a kind of deep neural network created by applying the same set of weights recursively over a structure, to… (More)
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Highly Cited
2014
Highly Cited
2014
We propose Adaptive Recursive Neural Network (AdaRNN) for target-dependent Twitter sentiment classification. AdaRNN adaptively… (More)
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Highly Cited
2014
Highly Cited
2014
An individual’s words often reveal their political ideology. Existing automated techniques to identify ideology from text focus… (More)
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Highly Cited
2014
Highly Cited
2014
Recursive neural networks comprise a class of architecture that can operate on structured input. They have been previously… (More)
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Highly Cited
2013
Highly Cited
2013
Vector-space word representations have been very successful in recent years at improving performance across a variety of NLP… (More)
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Highly Cited
2012
Highly Cited
2012
Recent advances in 3D sensing technologies make it possible to easily record color and depth images which together can improve… (More)
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Highly Cited
2011
Highly Cited
2011
Recursive structure is commonly found in the inputs of different modalities such as natural scene images or natural language… (More)
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Highly Cited
2010
Highly Cited
2010
Natural language parsing has typically been done with small sets of discrete categories such as NP and VP, but this… (More)
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Highly Cited
2005
Highly Cited
2005
Protein domains are the structural and functional units of proteins. The ability to parse protein chains into different domains… (More)
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Highly Cited
2004
Highly Cited
2004
MOTIVATION We focus on the prediction of disulfide bridges in proteins starting from their amino acid sequence and from the… (More)
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Highly Cited
1990
Highly Cited
1990
recursive neural networks for associative memory is available in our digital library an online access to it is set as public so… (More)
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