(2018) train a model very similar to our multi-CRF model on multiple biological NER datasets with non-fully overlapping labels.
this feature representation is then projected to the label dimension L using a linear layer, giving a matrix of scores [f il ] where f il is the score for pre- BiLStM-CRF models used for named entity recognition add a CRF layer (Lafferty et al., 2001) on the output representations from the BiLStM model described.