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

score 1 · Answer 1 · answered Aug 07 '15 at 23:18

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This project should be of interest to you:

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

answered Aug 07 '15 at 23:18

StanfordNLPHelp

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Thank you , it 's very interesting ! – user638564 Aug 18 '15 at 08:58

score 0 · Answer 2 · edited May 23 '17 at 12:22

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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)

edited May 23 '17 at 12:22

Community

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answered Aug 07 '15 at 13:37

sebilasse

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Thanks Sebastien :) i will take a look at the github and will try the js tool – user638564 Aug 07 '15 at 14:23

New entities discovery from text

2 Answers2