Enhancing LSTMs with character embeddings for Named entity recognition - Depends on the definition

This is the fifth and last post in my series about named entity recognition with python. If you haven't seen the last four, have a look now. The last time we used a CRF-LSTM to model the sequence structure of our sentences. We used the LSTM on word level and applied word embeddings. While this approach is straight forward and often yields strong results there are some potential shortcomings.