Closed shyamupa closed 8 years ago
I haven't tried to reproduce those results. Are you following the same hyperparameter choices/setup? What F1 values are you getting?
I ask the author and tried using the following parameters
l2 norm <100
variance between 0.25 and 1000.0
margin of 5.0
50 dimension
diagonal covariance
training with IP objective
min-freq for vocab 100
trained on wikipedia.
Strangely, I cannot beat the baseline of always predicting True
(which gets a F1 of 66%).
Agree that's strange. As I said I haven't tried to reproduce those results so unfortunately won't be of much help.
Hi,
I am trying to use the model for doing word entailment (eg. dog --> mammal) as described in the original paper (Section 6.2). I got the data for the experiment from this link.
However, I cannot reproduce the results for the experiment in the paper. Has anyone tried this and succeeded?