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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










0















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.










share|improve this question


























    0















    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.










    share|improve this question
























      0












      0








      0








      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.










      share|improve this question














      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






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 6 at 14:30









      Ashok Kumar JayaramanAshok Kumar Jayaraman

      1,09911018




      1,09911018






















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