mtanti
mtanti
I have added the Word Mover's Distance metric that was introduced by Mert Kilickaya et al. in their paper "[Re-evaluating Automatic Metrics for Image Captioning](https://arxiv.org/abs/1612.07600)". I believe this will be...
I have an offline version of this project's code that has Word Mover's Distance included and is Python 3 compatible. If I put it up on GitHub can it be...
If you try to load a file which isn't a database, you get the following error: Exception in thread Thread-1: Traceback (most recent call last): File "...\lib\threading.py", line 916, in...
https://github.com/Nudin/LexData/blob/bbb0a198ea3fa2594c50952e73576f48b328a1e7/LexData/__init__.py#L90 `lexeme["lexicalCategory"] == catLex` never succeeds because `lexeme["lexicalCategory"]` is an item ID while `catLex` is a category label (like 'noun'). This results in an empty search result every time.
Is there a way to save check points of the optimization process so that I can resume the optimization from where it left off if it gets terminated?