Table 7:
Architecture details shared by teams within the workshop proceedings. PWE and CE refer to “Pre-trained Word Embeddings” and “Character Embeddings” respectively. The “Features” column documents the additional features used by the submission for their NER system. “Relation Classifier” contains the classification methodology used by the submission for relation classification.
| Team Names | LSTM | CRF | PWE | CE | Features | Relation Classifier |
|---|---|---|---|---|---|---|
| UCA-I3S-SPARK [65] | + | − | + | + | POS | – |
| UFL-gators [60] | + | − | + | − | – | – |
| UofUtah-Patterson [62] | − | + | + | − | POS, Surface | Random Forest |
| ASU-BMI [64] | + | + | + | + | Surface | Random Forest |
| IBMResearch-dandala [59] | + | + | + | + | POS | Attention Bi-LSTM |
| WPI-Wunnava [58] | + | + | + | + | – | – |
| UArizonaIschool-Xu [61] | + | + | + | + | Prefix, Suffix Embedding | SVM |
| AEHRC-HoaNGO [63] | − | + | + | − | Snomed-CT, POS, Dependency | – |