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Currently, if a statement is of medium confidence and the user selects a class, then the statement is stored in the database as-is. The problem with this is that the statement contains entity values and these values should not be seeded in the NLC classifier. The solution would be to remove any entity values found during the entity extraction phase from the statement before it is stored in the database.
An item to consider is that removing these entity values might affect the statement and how it is classified (removing one or more nouns). It might be better to substitute entity values with a dummy value (say, ignoreentity).
The text was updated successfully, but these errors were encountered:
Currently, if a statement is of medium confidence and the user selects a class, then the statement is stored in the database as-is. The problem with this is that the statement contains entity values and these values should not be seeded in the NLC classifier. The solution would be to remove any entity values found during the entity extraction phase from the statement before it is stored in the database.
An item to consider is that removing these entity values might affect the statement and how it is classified (removing one or more nouns). It might be better to substitute entity values with a dummy value (say, ignoreentity).
The text was updated successfully, but these errors were encountered: