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zepingyu0512 authored May 21, 2018
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Expand Up @@ -4,3 +4,9 @@ This work is accepted by COLING 2018. <br />
Sliced Recurrent Neural Network (SRNN). <br />
SRNN is able to get much faster speed than standard RNN by slicing the sequences into many subsequences. <br />
The code is written in keras, using tensorflow backend. We implement the SRNN(8,2) here, and Yelp 2013 dataset is used. <br />
<br />
The pre-trained GloVe word embeddings could be downloaded at: <br />
https://nlp.stanford.edu/projects/glove/ <br />
The Yelp 2013, 2014 and 2015 datasets are at: <br />
<br />
Yelp_P, Amazon_P and Amazon_F datasets are at: https://drive.google.com/drive/folders/0Bz8a_Dbh9Qhbfll6bVpmNUtUcFdjYmF2SEpmZUZUcVNiMUw1TWN6RDV3a0JHT3kxLVhVR2M <br />

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