Natural Language Inference using LSTMs

• Github URL: Project Link

Designed and trained Long Short-term Memory (LSTM) models for recognizing textual entailment between a pair of sentences.

The Stanford Natural Language Inference (SNLI) dataset is being used to train models. This is a three-class classification problem.

Applied attention mechanisms and sentence matching techniques to accomplish an accuracy of 83% for the three-class classification task.