Effectively extracting character-level features from words is crucial in many Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), Part-of-Speech (POS) tagging, and Slot tagging.
most state-of-the-art methods for these tasks exploit some kind of character-level features dos Santos and Zadrozny, 2014).