Q: In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
Despite this, we found that the training of our embeddings was not considerably slower than the training of order-2 equivalents such as SGNS. Explicitly, our GPU trained CBOW vectors (using the experimental settings found below) in 3568 seconds, whereas training CP-S and JCP-S took 6786 and 8686 seconds respectively.
Question: Do they measure computation time of their factorizations compared to other word embeddings?
A:
Yes