search

simongray / StatementAnnotator

Custom annotator for Stanford CoreNLP that annotates sentences with the underlying statements contained within them.
4 stars 0 forks source link

Add config option: entityResolver #17

Closed simongray closed 8 years ago

simongray commented 8 years ago

Similar to #13, this is to be a way for the user to decide what way s/he wants to discover entities.

One possible issue is that by using the default NER (and gender) annotator, valuable resources have already been spent performing that sort of tagging. Perhaps it can be removed from the pipeline and initiated independently in a separate class?

simongray commented 8 years ago

Perhaps I should start with just implementing a good regexner: http://nlp.stanford.edu/software/regexner.html

simongray commented 8 years ago

This can be used for more complex stuff, e.g. "I am a ": http://nlp.stanford.edu/software/tokensregex.shtml

simongray commented 8 years ago

In case I need to overwrite standard results: http://stackoverflow.com/questions/32247485/is-it-possible-to-train-a-stanford-ner-model-with-a-data-set-containing-regular

simongray commented 8 years ago

Usage example for TokensRegex: http://stackoverflow.com/questions/31747631/how-to-chain-rules-using-tokensregex

simongray commented 8 years ago

The semantic tagging from issue #23 deprecates this idea.