exe1023 / Fusionnet
Licence: mit
My implementation of the FusionNet for machine comprehension
Stars: ✭ 29
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FusionNet
This is my pytorch implementation of the FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension for chinese machine comprehension dataset (not public dataset). However, I am now implementing the preprocessing/decoding for SQuAD, I think the SQuAD compatiable version will be released soon.
Feel free to use/modify it. Any improvement will be appreciated.
HOW TO RUN:
$ python3 preprocess.py
$ python3 train.py
TODO:
I will implement following word feature soon
Glove word vector and fine-tune (Maybe fasttext?)- CoVe vector
- POS, NER, normalized term frequency
context word appears in the quesiton?
Result:
References:
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