Dirk Weissenborn
Dirk Weissenborn
you pad the incoming sequence (https://github.com/smilli/kneser-ney/blob/master/kneser_ney.py#L147), but then go and use the original tuple (not padded) for scoring
the entity topic model implementation is very simple and preliminary, but fast and working at the moment. It relies on the statistical backend for training (spotter+stores). It needs a lot...
It would be really nice if the question ids that require the reasoning types specified in the paper could be made available in order to make more detailed analyses.
https://blog.thedataincubator.com/2016/06/testing-jupyter-notebooks/
We proper support for ELMo that makes it easy to load and use. Integration should be easy given the TF implementation of the authors [1]. [1] https://github.com/allenai/bilm-tf
... therefore we downgrade to 1.9 for the time being. See [1] for more info. [1] https://github.com/explosion/spaCy/issues/1508
see #361 currently solution is to fix the TF version in setup.py
Our current dataset setup is a bit cumbersome in some cases. We need a CLI that: 1) shows the user which dataset are available for which tasks 2) allows for...