[nltk] Relations Extractor

[constantin01]

Hello

I use nltk.sem.relextract to extract relations in text. I have a problem.

What I do:

1. Tools:

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

2. Take simple sentence and prepare it

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sent = "China is in Asia" sent = chunker(nltk.pos_tag(sent.split())) // tokenizing, tagging, chunking in NEs sent Tree('S', [Tree('GPE', [('China', 'NNP')]), ('in', 'IN'), Tree('GPE', [('Asia', 'NNP')])])

3. Pattern:

1	IN = re.compile (r'.*\bin\b(?!\b.+ing)')

4. Processing:

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for rel in  nltk.sem.extract_rels('GPE','GPE',sent,corpus='ace',pattern=IN):    print(nltk.sem.relextract.rtuple(rel)) []

Fail! What is wrong?

[scidam]

It seems that your question is related with the following issue. Nevertheless, your problem isn't fully reproducible, because the chunker function isn't defined.

[constantin01]

chunker it is just nltk.ne_chunk()

I have read this post before I created this thread, however it is does not work. I do all how it is explained in "Natural Language Processing with Python" (p. 284-290).

[constantin01]

I have solved the problem with editing of code of package nltk. Now it works.

But still I wonder why I should do it in order to receive a result with such simple expample as "China is in Asia"? Why the author does not fix it?