Custom Named Entity Recognition using deep learning I have a dataset with two columns. First column has some text (news article) and the second column contains names of people (not exactly English names) present in those news articles (first column). I've tried to build a custom named entity recognizer using Spacy but it isn't working. Can I use deep learning approach to identify the names in unseen news articles ? (Test data)
The CNN and RNN are quite popular for custom NER. I will suggest you try to implement CNN first and then RNN. Also, when I did custom NER, I found out that for my dataset stacking is giving really good results. I used Random Forest, XGBoost and Linear Regression.