分块后删除词性标签

Question

如何从分块结果中去除词性标签？我正在使用 NLTK 来执行此操作。目前我只能使用以下代码迭代到块：

for i in sent_list:
tagged = nltk.pos_tag(i)

ChunkGram = r"""Chunk: {<VB.?>+<JJ.?>*<NN.?>}"""

ChunkParser = nltk.RegexpParser(ChunkGram)
chunked = ChunkParser.parse(tagged)
for subtree in chunked.subtrees(filter=lambda t: t.label() == 'Chunk'):
    print(subtree)

假设我的结果是这样的：

(Chunk routing/VBG rework/NN build/NN)
(Chunk build/VBP instruction/NN schedule/NN lot/NN)
(Chunk based/VBN firm/NN plan/NN)

预期结果：

'routing','rework','build'

或

'routing rework build'

可以吗？或者请告诉我如何提取这些短语。

Answer 1

我找到了这段代码，它帮助我实现了我想要的结果。

for subtree in chunked.subtrees(filter=lambda t: t.label() == 'Verb'):
            verblist.append(" ".join([a for (a,b) in subtree.leaves()]))

分块后删除词性标签

Remove Part of Speech Tags after chunking

text-processing

chunking

nltk

pos-tagger

python-3.x