Semantic Textual Similarity Using Transfer Learning and Embeddings Abstract: Semantic Textual Similarity (STS) is a one of Natural Language Processing tasks to measure closeness of contextual meaning of given words, sentences or paragraphs as the way of human understands language using a computer model. https://iparkirk.github.io/projects/sts/ ipark #project #DL #STS #Pytorch #BERT #Embeddings #NLP