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dasmith / stanford-corenlp-python

Python wrapper for Stanford CoreNLP tools v3.4.1
GNU General Public License v2.0
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Instanciate StanfordCoreNLP with different annotators #29

Closed hugomailhot closed 9 years ago

hugomailhot commented 9 years ago

I'm using the StanfordCoreNLP class to do NER on some text. Then somewhere else in my program I only need to do POS tagging, but performance is uselessly slowed down by NER. I see that I can edit the default.properties file to remove the annotators I don't need, but that would change every instance of StanfordCoreNLP, which won't work.

Right now I'm thinking of modifying StanfordCoreNLP's init to allow a custom string for props to be passed, and create several files that contain the annotator lists I need. This might work for now, but I'd like to know if you see a better way, and if you'd be interested in allowing StanfordCoreNLP instances to be created with an optional annotator list.

hugomailhot commented 9 years ago

Ahem, just saw that my local version's definition of the class already allows that, while the code on the github page does not.