IRJET - Analysis of Paraphrase Detection using NLP Techniques

This document discusses analyzing paraphrase detection using natural language processing (NLP) techniques. It proposes applying a multi-head attention mechanism in a Siamese deep neural network to detect semantic similarity between texts and determine if they are paraphrases. The system would tokenize, stem, remove stopwords and part-of-speech tag input texts before applying the neural network. It evaluates the approach on datasets like SNLI and QQP and compares performance to existing methods.