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mp-cnn-tensorflow's Introduction

MP-CNN-tensorflow

How to run:

1. Please install the tensorflow library

2. Clone this repository.

3. Create folder named glove.6B.

4. Download data and put them in the folder above: http://nlp.stanford.edu/data/glove.6B.zip.

5. Run python2 train1.py.

Features:

1. Change l1-distance to elementwise-l1 distance in utils.py as discribed in paper.

2. Allow various value of num_filter_A.

3. Add small lambda before feeding into tf.sqrt to avoid nans in loss.

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