A hybrid approach of Weighted Fine-Tuned BERT extraction with deep Siamese Bi - LSTM model for semantic text similarity identification
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The conventional semantic text-similarity methods requires high amount of trained labeled data and also human interventions. Generally, it neglects the contextual-information and word-orders information resulted in data sparseness problem and latitudinal-explo... ...
