parameters: (self)
return_statement: return data_structures.StructuredCoreferenceAnalysis(
              self.errors, corpora=self.corpora,
              reference=self.reference_corpus)
docstring: Get errors for all systems managed by this ErrorAnalysis.
  
          The errors are stored via an ``StructuredCoreferenceAnalysis`
          which can be accessed like a dict.
  
          If a corpus with the description
          ``ranking``was added via ``self.add_system``,
          ``self.errors["ranking"]["recall_errors"]["all"]``is an ``EnhancedSet``
          containing all recall errors of the system. Errors of other systems
          and precision errors can be accessed analogously.
  
          Returns:
              StructuredCoreferenceAnalysis: A StructuredCoreferenceAnalysis
                  containing the errors.
docstring_summary: Get errors for all systems managed by this ErrorAnalysis.
docstring_tokens: Get errors for all systems managed by this ErrorAnalysis .
function: def get_errors(self):
          """ Get errors for all systems managed by this ErrorAnalysis.
  
          The errors are stored via an ``StructuredCoreferenceAnalysis`
          which can be accessed like a dict.
  
          If a corpus with the description
          ``ranking``was added via ``self.add_system``,
          ``self.errors["ranking"]["recall_errors"]["all"]``is an ``EnhancedSet``
          containing all recall errors of the system. Errors of other systems
          and precision errors can be accessed analogously.
  
          Returns:
              StructuredCoreferenceAnalysis: A StructuredCoreferenceAnalysis
                  containing the errors.
          """
          return data_structures.StructuredCoreferenceAnalysis(
              self.errors, corpora=self.corpora,
              reference=self.reference_corpus)
function_tokens: def get_errors ( self ) : return data_structures . StructuredCoreferenceAnalysis ( self . errors , corpora = self . corpora , reference = self . reference_corpus )