Tutorials on training the Skip

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  You can see the results of the algorithm as followings: 

    For this moment, you already defined the environment, then, you need also do the followings: 

    unzip these files in the current folders. 

  Now that, you have obtain the features of the input sentence. you can now load your texts to obtain the results. Come on ... 

Tutorials on training the Skip-thoughts vectors for features extraction of sentence. 

  2. Open and download the tensorflow version code.   

    (1). First, open a terminal and input "ipython" : 

    [Attention]  when you install the bazel, you need to install this software, but do not update it. Or, it may shown you some errors in the following operations. 

    the dataset used in skip_thoughts vectors is from [BookCorpus]: http://yknzhu.wixsite.com/mbweb 

    (2). input the following code to the terminal: 

    Do as the following links: https://github.com/tensorflow/models/tree/master/skip_thoughts 

  3. Encoding Sentences :   

    first, you should send a email to the auther of this paper and ask for the link of this dataset. Then you will download the following files: 

  1. Send emails and download the training dataset. 


  The, it's time to get the 260 # features now. 

    Then, you will see the processing as follows: