TL; DR

Question

我正在使用nltk作为Stanford NER Tagger的接口。我有疑问是否可以使用NLTK 以IOB格式获取NER结果？我已经读过此question，但它是针对Java用户的

NLTK版本：3.4

Java版本：jdk1.8.0_211 / bin

斯坦福大学NER模型：english.conll.4class.distsim.crf.ser.gz

输入：我叫Donald Trumph

预期输出：我/ O的名字/ O是/ O Donald / B-PERSON Trumph / I-PERSON

Answer 1

TL; DR

首先见Stanford Parser and NLTK

编写一个简单的循环并遍历NER输出：

def stanford_to_bio(tagged_sent):
    prev_tag = "O"
    bio_tagged_output = []
    current_ner = []
    for word, tag in tagged_sent:
        if tag == 'O':
            bio_tagged_output += current_ner
            bio_tagged_output.append((word, tag))
            current_ner = []
            prev_tag = 'O'
        else:
            if prev_tag == 'O':
                current_ner.append((word, 'B-'+tag))
                prev_tag = 'B'
            else:
                current_ner.append((word, 'I-'+tag))
                prev_tag = 'I'
    if current_ner:
        bio_tagged_output += current_ner
    return bio_tagged_output

tagged_sent = [('Rami', 'PERSON'), ('Eid', 'PERSON'), ('is', 'O'), ('studying', 'O'), ('at', 'O'), ('Stony', 'ORGANIZATION'), ('Brook', 'ORGANIZATION'), ('University', 'ORGANIZATION'), ('in', 'O'), ('NY', 'STATE_OR_PROVINCE')]
stanford_to_bio(tagged_sent)

[输出]：

[('Rami', 'B-PERSON'),
 ('Eid', 'I-PERSON'),
 ('is', 'O'),
 ('studying', 'O'),
 ('at', 'O'),
 ('Stony', 'B-ORGANIZATION'),
 ('Brook', 'I-ORGANIZATION'),
 ('University', 'I-ORGANIZATION'),
 ('in', 'O'),
 ('NY', 'B-STATE_OR_PROVINCE')]

通过具有IOB格式的NLTK获得斯坦福大学NER结果

1 个答案:

TL; DR