NLTK 实体抽取从 NLTK 2.0.4 到 NLTK 3.0 的差异

Question

我在运行实体提取函数时遇到问题。我相信这是版本的不同。下面的工作示例在2.0.4中运行，但不在3.0中运行。我确实更改了一个函数调用：batch\u neu chunk为：不，不，大块以防止在3.0中引发错误。

def package_get_entities(self,text):
    #text = text[0:300]
    entity_names = []
    chunked = self.get_chunked_sentences(text)
    for tree in chunked:
        entity_names.extend(self.extract_entity_names(tree))
    entity_names = list(set(entity_names))
    return entity_names

def get_chunked_sentences(self,text):
    sentences = nltk.sent_tokenize(text)
    tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences]
    tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences]
    chunked_sentences = nltk.ne_chunk_sents(tagged_sentences, binary=True)
    return chunked_sentences

def extract_entity_names(self,t):
    entity_names = []
    if hasattr(t, 'node') and t.node:
        if t.node == 'NE':
            entity_names.append(' '.join([child[0] for child in t]))
        else:
            for child in t:
                entity_names.extend(self.extract_entity_names(child))
    return entity_names

运行函数：

^{pr2}$

在2.0.4输出中[Abraham Lincoln] 在3.0输出中[]

Answer 1

我不得不重写：

if hasattr(t, 'node') and t.node:

收件人：

^{pr2}$