Fine-tuned BERT outperforms Universal Sentence Encoder, InferSent, and string matching on semantic similarity for financial question pairs, though the comparison rests on a small private dataset.
and Bordes, A.: Supervised Learn- ing of Universal Sentence Representations from Natural Language Inference Data
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Semantic similarity estimation for domain specific data using BERT and other techniques
Fine-tuned BERT outperforms Universal Sentence Encoder, InferSent, and string matching on semantic similarity for financial question pairs, though the comparison rests on a small private dataset.