A Morpho-Syntactically Informed LSTM-CRF Modelfor Named Entity Recognition
Table 3: Evaluation results for Bulgarian POS tagging. Shown are results where the standard input to the Bi-LSTM-CRF model is augmented with different POS tags and morphological features.
['[BOLD] Model', '[BOLD] No Morphology  [BOLD] F1', '[BOLD] With Morpholofy  [BOLD] F1', '[BOLD] With Morpholofy  [BOLD] P', '[BOLD] With Morpholofy  [BOLD] R']
The experimental results suggest that adding grammatical features can have a sizeable impact on the performance of the general LSTM-CRF model for Bulgarian NER.