Is there a Python wrapper for Stanford Neural Net based dependency parser?
I don't know of any such wrapper at the moment, and there are no plans at Stanford to build one. (Maybe the NLTK developers would be up for the challenge?)
I know about the Python wrappers for Stanford CoreNLP package but this package does not seem to contain neural net based dependency parser model. Rather it is present in Stanford-parser-full-****-- package for which I can't find any Python wrapper. My Question: Is there a Python wrapper that would parse using Stanford Neural Net based dependency parser? Any suggestions or directions would be helpful. Thanks!