Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.
Sign up to join this community
I am working on a entity extraction task and I am using Stanford CoreNLP NER. Here, I want to detect entities of type "Animal", "Building", "Imagery", etc., which are not covered in Stanford CoreNLP entity extraction method. Also, I want to detect organization entities which are not included in CoreNLP entity model. I have the data about the organizations with me.
How can I do this?
I think you are looking for Spacy, Polyglot and AllenNLP to find your NERs.
There are multiple ways to extract NER. Primarily, based on the construction of statements NER was extracted with the use of POS tags. But overtime with the change of how information was being conveyed, there has been a migration from traditional methods to learning methods. Currently, take a look at sequence to sequence tagging for NER detection. If you have the appropriate dataset, you have the capability to extract anything you consider as NER.
