I read a paper about Rumor detection and they used BERT as an unsupervised language representation, fine-tuning it using a small dataset, and combining it with a supervised learning model to provide an enriched text representation of the content of the rumor.
Now, I achieved the same accuracy using sentence-Bert.
What are the differences between these two models? I also want to know if their model is slower than mine or not. They did not mention the time complexity in their paper.
They also have another paper with lower accuracy. Can I mention the paper that has lower accuracy to compare it with mine?