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嗨，我正在尝试根据此处的倒数第二个示例从文本字符串中提取关系：https ://web.archive.org/web/20120907184244/http://nltk.googlecode.com/svn/trunk/doc /howto/relextract.html

从诸如“出版商周刊的迈克尔詹姆斯编辑”之类的字符串中，我想要的结果是有一个输出，例如：

[PER：'Michael James']'，'[ORG：'Publishers Weekly']的编辑

最好的方法是什么？extract_rels 期望什么格式以及如何格式化我的输入以满足该要求？

尝试自己做，但没有奏效。这是我从书中改编的代码。我没有打印任何结果。我究竟做错了什么？

class doc():
 pass

doc.headline = ['this is expected by nltk.sem.extract_rels but not used in this script']

def findrelations(text):
roles = """
(.*(                   
analyst|
editor|
librarian).*)|
researcher|
spokes(wo)?man|
writer|
,\sof\sthe?\s*  # "X, of (the) Y"
"""
ROLES = re.compile(roles, re.VERBOSE)
tokenizedsentences = nltk.sent_tokenize(text)
for sentence in tokenizedsentences:
    taggedwords  = nltk.pos_tag(nltk.word_tokenize(sentence))
    doc.text = nltk.batch_ne_chunk(taggedwords)
    print doc.text
    for rel in relextract.extract_rels('PER', 'ORG', doc, corpus='ieer', pattern=ROLES):
        print relextract.show_raw_rtuple(rel) # doctest: +ELLIPSIS

text ="出版商周刊的迈克尔·詹姆斯编辑"

查找关系（文本）

4

1 回答 1

4

这里有一个基于你的代码（只有很少的调整），效果很好；）

import nltk
import re 
from nltk.chunk import ne_chunk_sents
from nltk.sem import relextract


def findrelations(text):
    roles = """
    (.*(                   
    analyst|
    editor|
    librarian).*)|
    researcher|
    spokes(wo)?man|
    writer|
    ,\sof\sthe?\s*  # "X, of (the) Y"
    """
    ROLES = re.compile(roles, re.VERBOSE)

    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)


    for doc in chunked_sentences:
        print doc
        for rel in relextract.extract_rels('PER', 'ORG', doc, corpus='ace', pattern=ROLES):
            #it is a tree, so you need to work on it to output what you want
            print relextract.show_raw_rtuple(rel) 

findrelations('Michael James editor of Publishers Weekly')

(S (PERSON Michael/NNP) (PERSON James/NNP) 编辑/NN of/IN (ORGANIZATION Publishers/NNS Weekly/NNP))

于 2016-12-03T16:46:53.797 回答