Purpose: This code is to do semantic similarity which means determining the similarity between two sentences. Link to this code: https://github.com/sssm12/Semantic-Similarity-with-BERT
Method: Using SNLI (Stanford Natural Language Inference) corpus to analyze the similarity between sentences with Transformers. For fine-tuning, BERT model is used. This model take inputs of two sentences and outputs the similarity score of those inputs.
Contain three datasets:
• SNLI_Corpus/snli_1.0_train.csv – train_df
• SNLI_Corpus/snli_1.0_dev.csv – valid_df
• SNLI_Corpus/snli_1.0_test.csv – test_df
Process:
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