You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I found a little glitch in the WN18RR data updated by you. Although the data/wn18rr/entity.dict mentions 40943 entities, the actual entities which are a part of train.txt files are only 40559. Hence there are 40943-40559 = 384 entities that do not occur in the train.txt data but only are a part of the valid.txt and test.txt data and the model is doing zero-shot inference for these entities at the validation/test time, which might have adversarially affected the performance of your model. For instance, entity id: 14501545, does not occur in train.txt although it has been mentioned in the entities.dict file.
Apologies if I missed something, or my interpretation is wrong.
Best
Navdeep
The text was updated successfully, but these errors were encountered:
We also noticed this point, where some entities only appeared in the valid and test sets. But all previous works used this dataset for evaluation, and thus we also used this dataset for fair comparison, also this dataset was not ideal.
Dear Authors,
I found a little glitch in the WN18RR data updated by you. Although the data/wn18rr/entity.dict mentions 40943 entities, the actual entities which are a part of train.txt files are only 40559. Hence there are 40943-40559 = 384 entities that do not occur in the train.txt data but only are a part of the valid.txt and test.txt data and the model is doing zero-shot inference for these entities at the validation/test time, which might have adversarially affected the performance of your model. For instance, entity id: 14501545, does not occur in train.txt although it has been mentioned in the entities.dict file.
Apologies if I missed something, or my interpretation is wrong.
Best
Navdeep
The text was updated successfully, but these errors were encountered: