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A Tensorflow implementation of QANet for machine reading comprehension

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I am getting the following error while trying to fine tune ``` InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [326,64] rhs shape=...

I think the line "return inputs + mask_value * (1 - mask)" should be "return inputs*mask + mask_value * (1 - mask)"

https://github.com/NLPLearn/QANet/blob/8107d223897775d0c3838cb97f93b089908781d4/layers.py#L52 execuse me, in the paper "Layer Normalization,Lei Jimmy Ba, Ryan Kiros, and Geoffrey E. Hinton", it said that the mean and variance is computed over all the hidden units...

[Snorkel](https://github.com/HazyResearch/snorkel) can generate training data, maybe it is useful to data augmentation. It is using dynamic programming instead of translation twice.

Hi, I trained the model on AWS (GPU instance) for 60K steps and got the model. I then tested it on several GPU/CPU instance and results are consistent. When I...

Hi, I have noticed that you have put the input projection before Highway Network. However, in the paper, it is mentioned that the input of Embedding Encoding Layer is a...

Model | Training Steps | Size | Attention Heads | Data Size (aug) | EM | F1 -- | -- | -- | -- | -- | -- | --...

Hi all, As both results from Google Brain team and AllenNPL, using ELMO can give a big boost in result. I noticed that AllenNLP provides some pretrained model of ELMO....

Hello, I have one doubt over your code: in your code, all OOV words are represented by id 1, which means, all OOV words are considered the same word, and...