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A Tensorflow implementation of QANet for machine reading comprehension

Results 21 QANet issues
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How to reload model to make predictions?

Hello All, I have many json files whose format are the same as the standard train file or dev file so can i feed that to this network and predict...

ValueError: could not convert string to float: 'bewildered'

`def layer_dropout(inputs, residual, dropout): pred = tf.random_uniform([]) < dropout return tf.cond(pred, lambda: residual, lambda: tf.nn.dropout(inputs, 1.0 - dropout) + residual)`

In highway network, H is a non_linear function. But in this report,H is a linear function. why this is? thanks!

Why is the dropout here not every resudial block? ![QANet layers py at master · NLPLearn QANet](https://user-images.githubusercontent.com/24801876/57913588-e53ed200-785a-11e9-92fe-7d6febdd96a3.png)

1.What is the meaning of config.hidden used in conv(), and why is the value of kernel size =5 in conv() , is it a parameter that needs to be debugged?...

(.venv) ub16c9@ub16c9-gpu:~/ub16_prj/QANet$ python config.py --mode train Building model... WARNING:tensorflow:From /home/ub16c9/ub16_prj/QANet/layers.py:52: calling reduce_mean (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version. Instructions for updating: keep_dims...

Thank you for your implementation, it is very helpful for me. I run this code and can get the similar result when the number of heads equals to 1. But,...

This is an umbrella issue where we can collectively tackled some problems and improve general open source reading comprehension quality. **Goal** The network is already there. We just need to...

help wanted