resources..russie-metadata.long-desc.html Maven / Gradle / Ivy

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Support for processing Russian documents

The newest version!

A named entity recognition pipeline that identifies basic entity types, such 
as Person, Location, Organization, Money 
amounts, Time and Date expressions. It works on documents
in the Russian language.





  
    Default annotations
  
  
    :Person
    Standard named entity types
  
  
    :Location
  
  
    :Organization
  
  
    :Date
  
  
    :Address
    Includes email and IP addresses as well as street addresses
  
  
    Additional annotations available if selected
  
  
    :Money
    Monetary amounts
  
  
    :Percent
    Expressions representing percentages
  
  
    :Token
    The individual tokens of the text, with "category" feature for POS
  
  
    :SpaceToken
    The spaces between tokens
  
  
    :Sentence
    Sentences detected by the sentence splitter
  
  
    :Lookup
    Individual gazetteer lookups
  
  
    :MSD
    "Morpho-Syntactic Description" for selected tokens, including features for "lemma" (the base form of inflected words) and "type" (roughly equivalent to a part of speech tag in English, though more complex as it encodes features such as gender, grammatical case, etc.)

Default annotations
`:Person`	Standard named entity types
`:Location`
`:Organization`
`:Date`
`:Address`	Includes email and IP addresses as well as street addresses
Additional annotations available if selected
`:Money`	Monetary amounts
`:Percent`	Expressions representing percentages
`:Token`	The individual tokens of the text, with "category" feature for POS
`:SpaceToken`	The spaces between tokens
`:Sentence`	Sentences detected by the sentence splitter
`:Lookup`	Individual gazetteer lookups
`:MSD`	"Morpho-Syntactic Description" for selected tokens, including features for "lemma" (the base form of inflected words) and "type" (roughly equivalent to a part of speech tag in English, though more complex as it encodes features such as gender, grammatical case, etc.)