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
In read_dependency.py, I noticed that _DEP_LABELS has 63 labels. But I used a counter and found there are 69 labels in conll 2009 training set, and 107 labsls in all datasets(train, dev, test, ood). Neither of them matches your dependency label set. So I got really confused. Could you please tell us how you get _DEP_LABELS or prune this label set? Thanks a lot!
The text was updated successfully, but these errors were encountered:
In read_dependency.py, I noticed that _DEP_LABELS has 63 labels. But I used a counter and found there are 69 labels in conll 2009 training set, and 107 labsls in all datasets(train, dev, test, ood). Neither of them matches your dependency label set. So I got really confused. Could you please tell us how you get _DEP_LABELS or prune this label set? Thanks a lot!
The text was updated successfully, but these errors were encountered: