Combinatorial feature embedding based on CNN and LSTM for biomedical named entity recognition.

•Propose technically simple model using character-level features and attention method.•Effective word representation through the design of high-level feature embedding.•Comparison with state-of-the-art methods demonstrates empirical strength of study.