SRU-NER, a transition-based NER model with a slot-based recurrent memory, matches strong baselines on biomedical NER and improves cross-dataset predictions via a soft-target multi-task loss.
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Effective Multi-Task Learning for Biomedical Named Entity Recognition
SRU-NER, a transition-based NER model with a slot-based recurrent memory, matches strong baselines on biomedical NER and improves cross-dataset predictions via a soft-target multi-task loss.