Train a model for NER using a vocabulary (list of values) to generate multiple tags
Dear all,I would kindly request your advice on how to train a model using a vocabulary of terms (unique id, value, type) with the objective to perform NER resulting in multiple tags (unique id and type) when the value is identified in the text.e.g.vocabulary entry: {id: IBU, term: ibuprofen, type: active substance}Text: “You can take Ibuprofen for headaches”, NER result Ibuprofen [active substance, IBU].Many thanks in advance for your help,Achilleas