Implementation of the ESIM model for natural language inference with PyTorch
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Updated
Aug 29, 2021 - Python
Implementation of the ESIM model for natural language inference with PyTorch
pytorch implementation of various models for snli and mnli task
Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus
BERT and RoBERTa models fine-tuned on the MNLI dataset, optimized for binary entailment/non-entailment classification. Additionally, their performance is explored in handling figurative language.
iis summer intern
Evaluation of Natural language Inference datasets on State of the art models and their combinations and ensembles.
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