本文整理汇总了Python中nltk.tag.StanfordNERTagger.cur_tag方法的典型用法代码示例。如果您正苦于以下问题：Python StanfordNERTagger.cur_tag方法的具体用法？Python StanfordNERTagger.cur_tag怎么用？Python StanfordNERTagger.cur_tag使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nltk.tag.StanfordNERTagger的用法示例。
在下文中一共展示了StanfordNERTagger.cur_tag方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from nltk.tag import StanfordNERTagger [as 别名]
# 或者: from nltk.tag.StanfordNERTagger import cur_tag [as 别名]
def main():
parser = StanfordParser(path_to_jar=script_wrapper.stanford_parser_jar, path_to_models_jar=script_wrapper.stanford_model_jar)
st = StanfordNERTagger(model_filename='../lib/stanford-ner-2015-12-09/classifiers/english.all.3class.distsim.crf.ser.gz', path_to_jar="../lib/stanford-ner-2015-12-09/stanford-ner-3.6.0.jar")
raw_sent = "Dempsey was drafted by Major League Soccer club New England Revolution."
sent = word_tokenize(raw_sent)
ne_tuple = st.cur_tag(sent) # ##need write interface for tokenized sent (http://nlp.stanford.edu/software/crf-faq.shtml#tokenized)
print ne_tuple
print parser.raw_parse(raw_sent).next()
return
# find name entity
f = 0
ne_list = []
for (ne, label) in ne_tuple:
if label == 'PERSON':
f = 1
if f and label != 'PERSON':
break
if f:
ne_list.append(ne)
# print ne_list
init_file(main_tree)
####### my issue here: 1. don't know how to get NP. 2. is there a quicker way to find PERON ?
# try head to ask who/what
pattern = "S < NP=np"
head = check_output(['bash', ###add bash !!!!
tregex_path,
'-s',
pattern,
init_tree_file])
print head
def get_main_verbs(tree):
pattern = '/(VB.?)/=main >+ (VP) (S > ROOT)'
main_verbs = check_output(['bash', ###add bash !!!!
tregex_path,
'-s',
pattern,
init_tree_file])
print main_verbs
main_verbs = main_verbs.split('\n')[:-1]
main_verbs = [Tree.fromstring(main_verb) for main_verb in main_verbs]
return main_verbs