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Hi, thanks for the code. I have some questions regarding your paper and the code.
In Table 3 of the paper, the last two rows indicate the simon model with and without context embedding right? When I run the github code, I obtain similar results as the one without context embedding with the same hyper-parameter settings. In the train.py file, as per my understanding, the context embedding part seems to be missing. Can you please elaborate more about this ? And how do I obtain the same results as the paper with the context embeddings?
The text was updated successfully, but these errors were encountered:
Hi, thanks for the code. I have some questions regarding your paper and the code.
The text was updated successfully, but these errors were encountered: