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License: MIT License
Reproducing the results of DCN+ paper submitted for ICLR 2018
License: MIT License
For HMN_start and HMN_end
Needs:
max over output,
r
m^1
m^2
max that creates output for HMN
For outputting s_i and e_i
Create L for #6 Coattention Encoder
Used in HMN framework
Uses [Q ; C^Q] A^D
from torch.nn.utils.rnn import
-->
from torch.nn.utils.rnn import *
We need a dataset object that inherits from the Pytorch Dataset class in order to use the DataLoader generator during model training
Testing Waffle
Use #3 to create Q
We need a dedicated preprocessing class to perform tokenization and apply embeddings.
Uses D and #9 A^Q
Used in HMN framework
not clear what target is.
target is used when initializing SquadDataset (class defined in src/dataset.py).
args documentation is outdated.
Used in HMN framework
Create Bi-LSTM that outputs U
Use #3 LSTM_enc to create D
LSTM_enc
Create a softmax function that inputs #7 L and outputs A^Q or A^D.
Uses the output of the Coattention Encoder U, LSTM_dec, HMN_start, HMN_end
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