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Recurrent Neural Network For Text

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Recursive Deep Models for Semantic Compositionality Over a ...

Recursive Deep Models for Semantic Compositionality Over a ...

nlp.stanford.edu

Recursive Neural Tensor Network (RNTN). Recur-sive Neural Tensor Networks take as input phrases of any length. They represent a phrase through word vectors and a parse tree and then compute vectors for higher nodes in the tree using the same tensor-based composition function. We compare to several super-vised, compositional models such as ...

  Network, Neural

Improving Language Understanding by Generative Pre-Training

Improving Language Understanding by Generative Pre-Training

www.cs.ubc.ca

The closest line of work to ours involves pre-training a neural network using a language modeling objective and then fine-tuning it on a target task with supervision. Dai et al. [13] and Howard and Ruder [21] follow this method to improve …

  Network, Neural network, Neural

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