ivendrov / order-embeddings-wordnet Goto Github PK

Hi,

I am working with the wordnet dataset from this repo and I noticed something odd with the data.

Fitting the transitive closure baseline on the training data dataset/contrastive_trans.t7 also results in false negatives on the test data!! My understanding is that the wordnet train-test datasets were generated by just splitting the transitive closure of WordNet so the transitive closure baseline should never generate any false positives.

As far as I can tell the training data does not contain any noise in it so false positives should not occur by the closure of the training data. Can you give some reasons for why the transitive closure of training data might generate false positives?