从SyntaxNet获取输出为python对象，而不是文本

Question

After executing some of an example syntaxnet scripts(like parse.sh ) I receive output in text-conll format. My goal is to take some features and proceed them to next network. One possible choice is to parse text output with something like nltk.corpus.reader.ConllCorpusReader to a python object. But for me interesting is:

It is possible with some code modification to get from SyntaxNet not text, but Python object related to parsed results?

I've found that in parser_eval.py on lines 133-138 syntaxnet fetched already text version of results.

while True:
    tf_eval_epochs, tf_eval_metrics, tf_documents = sess.run([
        parser.evaluation['epochs'],
        parser.evaluation['eval_metrics'],
        parser.evaluation['documents'],
    ])

But I cannot locate the place from what object this text was generated and how.

Answer 1

There are many ways to do it, and from what I know all involve parsing the output of SyntaxNet, and load it into NLTK objects. I wrote a simple post on my blog, exemplifying it:

http://www.davidsbatista.net/blog/2017/03/25/syntaxnet/