├── Our_Approach.png ├── README.md └── Scripts ├── Classification ├── clf_dataloader.py ├── clf_network.py ├── clf_train.py └── evaluate.py └── Textual_Entailment ├── comparison.py ├── evaluate.py ├── inconsistency.py ├── nli_dataloader.py ├── nli_network.py ├── nli_train.py └── nli_train_joint.py /Our_Approach.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Our_Approach.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/README.md -------------------------------------------------------------------------------- /Scripts/Classification/clf_dataloader.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Classification/clf_dataloader.py -------------------------------------------------------------------------------- /Scripts/Classification/clf_network.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Classification/clf_network.py -------------------------------------------------------------------------------- /Scripts/Classification/clf_train.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Classification/clf_train.py -------------------------------------------------------------------------------- /Scripts/Classification/evaluate.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Classification/evaluate.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/comparison.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/comparison.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/evaluate.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/evaluate.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/inconsistency.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/inconsistency.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/nli_dataloader.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/nli_dataloader.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/nli_network.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/nli_network.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/nli_train.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/nli_train.py -------------------------------------------------------------------------------- /Scripts/Textual_Entailment/nli_train_joint.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/midas-research/hindi-nli-code/HEAD/Scripts/Textual_Entailment/nli_train_joint.py --------------------------------------------------------------------------------