Closed raphaelsty closed 4 years ago
There are 1552 common entities between WN18RR and FB15K237.
WN18RR shares 3.79% of its entities with FB15K237.
FB15K327 shares 10.88% of its entities with WN18RR.
In FB15K237, there are 13411 training samples (e_i, r, e_j) where e_i and e_j are defined in WN18RR. It represent 4.92% of the training set of FB15K237.
4.69% for the valid set of FB15K237
4.59% for the test set of FB15K237
I uploaded a new version of wn18rr and fb15k237.
I have aligned the entities of fb15k237 with the entities of wn18rr and I have concatenated the set of relations of both datasets.
I need to retrieve common entities between both files:
Entities fb15k237
Entities wn18rr
The best solution in my opinion is to add Part-of-speech tagging to the entities of the fb15k237 dataset.
I need to retrieve common relations between both files:
Relations fb15k237
Relations wn18rr
The relations of the datasets fb15k237 and wn18rr are quite distinct symbolically nevertheless there is a semantic link between the relations of the two datasets.