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Hello,
This is not an issue but rather a question -
Where could I get all the datasets you reported to in the paper ?
Do you think that training on ALL datasets together would improve the results ?
What about training for various languages - do you think a model containing text for mixed languages would behave better or worse than models handling each language separately ?
And another question regarding phrases - the google's word2vec pretrained vectors include also phrases - were they taken into account as well ?
The text was updated successfully, but these errors were encountered:
Hello,
This is not an issue but rather a question -
Where could I get all the datasets you reported to in the paper ?
Do you think that training on ALL datasets together would improve the results ?
What about training for various languages - do you think a model containing text for mixed languages would behave better or worse than models handling each language separately ?
And another question regarding phrases - the google's word2vec pretrained vectors include also phrases - were they taken into account as well ?
The text was updated successfully, but these errors were encountered: