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Thanks for this great job, I really appreciate the project.
Concerning the bootstrap version, I was wondering if you used a post-processing step to improve the DSL prediction.
In fact, when obtaining a DSL predicted by the model, then, the compiler used for HTML generation is really sensitive to the quality of the prediction.
For instance, the following cases will lead to a 'None' HTML or 'parsing error' in the compiler :
the prediction contains 2 successives ' , '
'text text' without ' , ' to separate them
succession of ' , ' and ' } '
In general, how do you deal with errors in DSL prediction that could be critical ?
Thanks a lot,
The text was updated successfully, but these errors were encountered:
Dear Emil,
Thanks for this great job, I really appreciate the project.
Concerning the bootstrap version, I was wondering if you used a post-processing step to improve the DSL prediction.
In fact, when obtaining a DSL predicted by the model, then, the compiler used for HTML generation is really sensitive to the quality of the prediction.
For instance, the following cases will lead to a 'None' HTML or 'parsing error' in the compiler :
In general, how do you deal with errors in DSL prediction that could be critical ?
Thanks a lot,
The text was updated successfully, but these errors were encountered: