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I find the definition of the above-mentioned functions in pp_gen_nearest.py unclear since they have even the same comments. i) Would you mind explain a bit about the differences between these two functions? ii) The function starting with "caching_" is used when the model is "miswordpolyenc". Would you mind explaining a bit about this model? I could not find any related details concerning this model.
I am looking forward to your reply. I'd appreciate your kind explainations. @MSheshera
The text was updated successfully, but these errors were encountered:
I find the definition of the above-mentioned functions in pp_gen_nearest.py unclear since they have even the same comments.
These comments are somewhat imperfect - they weren't updated as the functions were updated.
caching_ generally means that the documents are embedded and cached before the scores for ranking are computed with the model. miswordpolyenc is a model we used in early experiments during this paper but it isn't included in any experiments we reported in the paper. This model implements a model similar to, but it is not exactly alike: https://openreview.net/forum?id=SkxgnnNFvH
Many thanks for the great work.
I find the definition of the above-mentioned functions in pp_gen_nearest.py unclear since they have even the same comments.
i) Would you mind explain a bit about the differences between these two functions?
ii) The function starting with "caching_" is used when the model is "miswordpolyenc". Would you mind explaining a bit about this model? I could not find any related details concerning this model.
I am looking forward to your reply. I'd appreciate your kind explainations. @MSheshera
The text was updated successfully, but these errors were encountered: