What indicates the methodology in the image? Python Programming
I am trying to implement a process as shown in the image below for a text summary:
I figured out that the second step is to generate a dependency graph with Stanford Parser. Here is the code:
from nltk.parse.stanford import StanfordDependencyParser path_to_jar = 'path_to/stanford-parser-full-2014-08-27/stanford-parser.jar' path_to_models_jar = 'path_to/stanford-parser-full-2014-08-27/stanford-parser-3.4.1-models.jar' dependency_parser = StanfordDependencyParser(path_to_jar=path_to_jar, path_to_models_jar=path_to_models_jar) result = dependency_parser.raw_parse('I shot an elephant in my sleep') dep = result.next() list(dep.triples())
But the part I can't get is the third and fourth. Please help me understand this. If possible, what is the possible implementation of the third and fourth. Please help me.
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Jaffer wilson
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