Distant-LSTM-CRF (Giannakopoulos et al., 2017) has been proposed for the distantly supervised aspect term extraction, which can be viewed as an entity recognition task of a single type for business reviews.
we conduct experiments on the BC5CDR dataset by sampling different amounts of annotated articles for model training.