Dependency Parsing using Stanford Dependency Parser

Question

i am trying to extract main verb in a sentence and i followed this question , i am expecting output in this format

nsubj(swim-4, Parrots-1)
aux(swim-4, do-2)
neg(swim-4, not-3)
root(ROOT-0, swim-4)

but i am getting output in this way

[<DependencyGraph with 94 nodes>]

i did following

  dependencyParser = stanford.StanfordDependencyParser(model_path="edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz")
  print (list(dependencyParser.raw_parse(noiseLessInput)))

i think i am doing something wrong, how can i achieve desired ouput

Answer 1

yeah, found how to do that through this question, but it is not showing root attribute, that's the only issue now

  dependencyParser = stanford.StanfordDependencyParser(model_path="edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz")
result = dependencyParser.raw_parse(noiseLessInput)
dep = result.__next__()
for triple in dep.triples():
 print(triple[1], "(", triple[0][0], ", ", triple[2][0], ")")