text = ('GOP Sen. Rand Paul was assaulted in his home in Bowling Green, Kentucky, on Friday, '
        'according to Kentucky State Police. State troopers responded to a call to the senator\'s '
        'residence at 3:21 p.m. Friday. Police arrested a man named Rene Albert Boucher, who they '
        'allege "intentionally assaulted" Paul, causing him "minor injury. Boucher, 59, of Bowling '
        'Green was charged with one count of fourth-degree assault. As of Saturday afternoon, he '
        'was being held in the Warren County Regional Jail on a $5,000 bond.')

from pynlp import StanfordCoreNLP

annotators = 'tokenize, ssplit, pos, lemma, ner, entitymentions, coref, sentiment, quote, openie'
options = {'openie.resolve_coref': 'true'}

nlp = StanfordCoreNLP(annotators=annotators, options=options)

document = nlp(text)

print(document) # prints 'text'

for index, sentence in enumerate(document):
    print(index, sentence, sep=' )')

[str(entity) for entity in document.entities if entity.type == 'PERSON']

first_sentence = document[0]
for entity in first_sentence.entities:
    print(entity, '({})'.format(entity.type))

for token in first_sentence:
    if 'VB' in token.pos:
        print(token, token.pos)

for token in first_sentence:
    if 'VB' in token.pos:
       print(token, '->', token.lemma)

chain = next(document.coref_chains)
print(chain)

ref = chain.referent
details = {'type': ref.type, 'number':ref.number, 'animacy': ref.animacy, 'gender':ref.gender}
print(ref, details)

# Note that we can also index coreferences by id
assert chain[4].is_referent

list(document.quotes)