Machine learning 使用Stanford依赖项解析器进行依赖项解析

我试图提取一个句子中的主要动词，我遵循了这个，我期望以这种格式输出

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

但我是这样得到输出的

[<DependencyGraph with 94 nodes>]

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我想我做错了什么，我怎样才能达到预期的输出是的，找到了如何通过，但它没有显示根属性，这是现在唯一的问题

  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], ")")

  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], ")")