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How to combine the filtered parser into lists from Stanford dependency result?
2019 Community Moderator ElectionClause Extraction using Stanford parserActivate makeCopulaHead in Stanford CoreNLP parserSwapping in Berkley parser in Stanford corenlpProblems training Stanford Neural Network ParserStanford CoreNLP Universal DependencieStanford Dependency Parser Setup and NLTKStanford NLP dependency parser gives me Chinese characters as question marksLemma extracted in a Tree in Stanford parserGetting numbered dependency triples in python from stanford dependency parserNLTK Stanford CoreNLP: I can't change language model
I have parsed the sentences and filtered the following items using Stanford Dependency Parser.
(('screen', 'NN'), 'compound', ('iPhone', 'NNP'))
(('good', 'JJ'), 'cop', ('is', 'VBZ'))
(('keyboard', 'NN'), 'amod', ('virtual', 'JJ'))
(('bad', 'JJ'), 'cop', ('is', 'VBZ'))
Now, I am trying to combine these components as follows. But I am not able to achieve it.
iPhone screen is good
virtual keyboard is bad
Any idea please?
Thanks in Advance.
python-3.x nlp stanford-nlp
add a comment |
I have parsed the sentences and filtered the following items using Stanford Dependency Parser.
(('screen', 'NN'), 'compound', ('iPhone', 'NNP'))
(('good', 'JJ'), 'cop', ('is', 'VBZ'))
(('keyboard', 'NN'), 'amod', ('virtual', 'JJ'))
(('bad', 'JJ'), 'cop', ('is', 'VBZ'))
Now, I am trying to combine these components as follows. But I am not able to achieve it.
iPhone screen is good
virtual keyboard is bad
Any idea please?
Thanks in Advance.
python-3.x nlp stanford-nlp
add a comment |
I have parsed the sentences and filtered the following items using Stanford Dependency Parser.
(('screen', 'NN'), 'compound', ('iPhone', 'NNP'))
(('good', 'JJ'), 'cop', ('is', 'VBZ'))
(('keyboard', 'NN'), 'amod', ('virtual', 'JJ'))
(('bad', 'JJ'), 'cop', ('is', 'VBZ'))
Now, I am trying to combine these components as follows. But I am not able to achieve it.
iPhone screen is good
virtual keyboard is bad
Any idea please?
Thanks in Advance.
python-3.x nlp stanford-nlp
I have parsed the sentences and filtered the following items using Stanford Dependency Parser.
(('screen', 'NN'), 'compound', ('iPhone', 'NNP'))
(('good', 'JJ'), 'cop', ('is', 'VBZ'))
(('keyboard', 'NN'), 'amod', ('virtual', 'JJ'))
(('bad', 'JJ'), 'cop', ('is', 'VBZ'))
Now, I am trying to combine these components as follows. But I am not able to achieve it.
iPhone screen is good
virtual keyboard is bad
Any idea please?
Thanks in Advance.
python-3.x nlp stanford-nlp
python-3.x nlp stanford-nlp
asked Mar 6 at 14:30
Ashok Kumar JayaramanAshok Kumar Jayaraman
1,09911018
1,09911018
add a comment |
add a comment |
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