I am currently working on creating a NER model for extracting information from resumes, using a Bi-LSTM-CRF model which takes word vectors as input. I have created the word vectors on my own using word2vec.
I am not able to figure out what input should I send to the model if a word is not present in the embedding matrix vocabulary. Currently I am sending a vector of zeros and it is performing very badly as expected.
Thanks in advance!