Despite those positive outcomes, several issues with multi-task learning for sequence labeling remain open.
actually, by training our model on NER, chunking and POS tagging, we report state-of-the-art (or highly competitive) results on each task, without using external knowledge (such as gazetteers that has been shown to be important for NER), or hand-picking tasks to combine.