New entities discovery from text

Question

i'm working on new entities discovery from text and was wondering if stanford nlp can be used for this purpose ? Actually what i know is that stanford requires trained classifiers to recognize entities but if i'm not wrong it will only detect already known entities for example if your models contains "stanford is a good university" and stanford is already a know entity, if i try "fooo is a good university" it won't recognize it as a new entity

Answer 1

This project should be of interest to you:

http://nlp.stanford.edu/software/patternslearning.shtml

Answer 2

OK - if javascript is fine for you (node.js/browser) please see : http://github.com/redaktor/nlp_compromise/

This is a "No training" solution. I worked especially on NER (named entity extraction) the last days - just described it here Named entity recognition with a small data set (corpus)

Feel free to ask me about it in the github issues because I did not document the new methods (no time and still working on it)