How to add terms to model to extract entities from text

Question

We want to add new terms and synonyms to Stanford NER engine and have engine extract new terms in a document. Also wondering if elastic search couldn't be of help.

Use case - making bread and I want to add terms to the engine like white flour, wheat flour, rice flour. All documents that are enriched should have - white flour, wheat flour, rice flour - highlighted and classified as a "bread making" thing vs org/person/location.

Not sure if its possible or how to do add the terms to the model reading the docs online.

Answer 1

I would suggest that you look at the RegexNER. It can be run as one of the annotators with the pipeline along with the standard NER.

http://nlp.stanford.edu/software/regexner/

Please let me know if you need any more help!