noun chunks are not consistently extracted

[pengyu]

The following example shows that sometime "Oxtr(-/-) mice" is extracted as a noun chunk, sometimes it is not. How to make the result to be consistent? Thanks.

$ cat main2.py 
#!/usr/bin/env python
# vim: set noexpandtab tabstop=2 shiftwidth=2 softtabstop=-1 fileencoding=utf-8:

import spacy
nlp = spacy.load('en', disable=['tokenizer', 'ner', 'textcat'])
## 'tagger' and 'parser' can not be disabled.

doc = nlp(u'Male Oxtr(-/-) mice failed to maintain their body temperatures during exposure to a cold environment.')
print [x for x in doc.noun_chunks]
doc = nlp(u'Oxtr(-/-) mice also showed decreased neuronal activation in the thermoregulatory hypothalamic region during cold exposure.')
print [x for x in doc.noun_chunks]
$ ./main2.py 
[Male Oxtr(-/-) mice, their body temperatures, exposure, a cold environment]
[mice, decreased neuronal activation, the thermoregulatory hypothalamic region, cold exposure]

[ines]

The noun chunks depend on the part-of-speech tags and dependency parse, so this issue likely comes down to incorrect predictions made by the tagger or parser.

I'm merging this with #3052. We've now added a master thread for incorrect predictions and related reports – see the issue for more details.

[lock]

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.