Introduction
Semantic Similarity is the task of determining how similar two sentences are, in terms of what they mean. This example demonstrates the use of SNLI (Stanford Natural Language Inference) Corpus to predict sentence semantic similarity with Transformers. We will fine-tune a BERT model that takes two sentences as inputs and that outputs a similarity score for these two sentences.
References
BERT
SNLI
github地址：https://github.com/flexudy-pipe/sentence-doctor