[英]NLTK named entity recognition in dutch
I am trying to extract named entities from dutch text. 我试图从荷兰文本中提取命名实体。 I used nltk-trainer to train a tagger and a chunker on the conll2002 dutch corpus. 我使用nltk-trainer在conll2002荷兰语语料库上训练一个tagger和一个chunker。 However, the parse method from the chunker is not detecting any named entities. 但是,来自chunker的解析方法未检测到任何命名实体。 Here is my code: 这是我的代码:
str = 'Christiane heeft een lam.'
tagger = nltk.data.load('taggers/dutch.pickle')
chunker = nltk.data.load('chunkers/dutch.pickle')
str_tags = tagger.tag(nltk.word_tokenize(str))
print str_tags
str_chunks = chunker.parse(str_tags)
print str_chunks
And the output of this program: 而这个程序的输出:
[('Christiane', u'N'), ('heeft', u'V'), ('een', u'Art'), ('lam', u'Adj'), ('.', u'Punc')]
(S Christiane/N heeft/V een/Art lam/Adj ./Punc)
I was expecting Christiane to be detected as a named entity. 我期待Christiane被检测为命名实体。 Any help? 有帮助吗?
The conll2002
corpus has both spanish and dutch text, so you should make sure to use the fileids
parameter, as in python train_chunker.py conll2002 --fileids ned.train
. conll2002
语料库有西班牙语和荷兰语文本,所以你应该确保使用fileids
参数,如python train_chunker.py conll2002 --fileids ned.train
。 Training on both spanish and dutch will have poor results. 西班牙语和荷兰语的训练效果不佳。
The default algorithm is a Tagger based Chunker, which does not work well on conll2002. 默认算法是基于Tagger的Chunker,它在conll2002上不能很好地工作。 Instead, use a classifier based chunker like NaiveBayes, so the full command might look like this (and I've confirmed that the resulting chunker does recognize "Christiane" as a "PER"): 相反,使用像NaiveBayes这样的基于分类器的分块,因此完整命令可能看起来像这样(并且我已经确认结果chunker确实将“Christiane”识别为“PER”):
python train_chunker.py conll2002 --fileids ned.train --classifier NaiveBayes --filename ~/nltk_data/chunkers/conll2002_ned_NaiveBayes.pickle
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