Match : does not match a NP-group ?
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start by reproducing the example with parse(), Sentence, and match('{NP} {VB*} {NP} {NP}', s1), then trace the matching entry point and how constituents are returned. Done means the match includes all three NP chunks, including “a challenge,” with a regression check for this example.
Written by the indexing model from the issue text.
Description
For some reason MATCHING cant find the third {NP} ?
As you can see there is 3 NP chunks, so it should work !! Any idea ?
In [120]: s1 = Sentence(parse('The students consider the course a challenge'))
In [121]: s1.string
Out[121]: u'The students consider the course a challenge'
In [122]: m = match('{NP} {VB*} {NP} {NP}', s1)
In [123]: m.constituents()
Out[123]: [Chunk('The students/NP'), Chunk('consider/VP'), Chunk('the course/NP')]
In [125]: s1.chunks
Out[125]:
[Chunk('The students/NP'),
Chunk('consider/VP'),
Chunk('the course/NP'),
Chunk('a challenge/NP')]
In [126]: pprint(s1)
WORD TAG CHUNK ROLE ID PNP LEMMA
The DT NP - - - -
students NNS NP ^ - - - -
consider VB VP - - - -
the DT NP - - - -
course NN NP ^ - - - -
a DT NP - - - -
challenge NN NP ^ - - - -
- Dominant language
- Python
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- 8.9k
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- No merged PRs in 30d
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