def dep_parse(sents, entity):
dep_parser = CoreNLPDependencyParser(url='http://localhost:9000')
parsers = dep_parser.raw_parse_sents(sents)
deps = []
for (parser, ) in parsers:
for governor, dep, dependent in parser.triples():
is_dep_verb = (
(governor[0] in entity and dependent[1].startswith("VB"))
or (dependent[0] in entity and governor[1].startswith("VB")))
if is_dep_verb:
deps.append((governor, dep, dependent))
return deps
def _dependency_parse(sentences):
### 3.4.1 CoreNLP Dependency Parser
from nltk.parse.corenlp import CoreNLPDependencyParser as DP
dep_parser = DP(url='http://localhost:9000')
# example:
# parse, = dep_parser.raw_parse(
# 'The quick brown fox jumps over the lazy dog.'
# )
# print(parse.to_conll(4))
parse = dep_parser.raw_parse_sents(sentences)
dep_trees = []
for itr_tree in parse:
for tree in itr_tree:
dep_trees.append(tree)
# print(tree.to_conll(4))
# print(tree.tree())
# print()
return dep_trees
