GitHub - utahnlp/layer_augmentation: Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

utahnlp / layer_augmentation Public

Implementation of the NLI model in our ACL 2019 paper: Augmenting Neural Networks with First-order Logic.

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
attention		attention
classifier		classifier
constraint		constraint
data/snli_1.0		data/snli_1.0
encoder		encoder
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
char_embeddings.py		char_embeddings.py
conceptnet.py		conceptnet.py
constraint_preprocess.py		constraint_preprocess.py
cross_layer.py		cross_layer.py
data.py		data.py
ema.py		ema.py
embeddings.py		embeddings.py
eval.py		eval.py
get_char_idx.py		get_char_idx.py
get_pretrain_vecs.py		get_pretrain_vecs.py
holder.py		holder.py
locked_dropout.py		locked_dropout.py
logo.png		logo.png
multiclass_loss.py		multiclass_loss.py
optimizer.py		optimizer.py
pipeline.py		pipeline.py
preprocess.py		preprocess.py
snli_extract.py		snli_extract.py
train.py		train.py
util.py		util.py

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