Scientific Information Extraction with Semi-supervised Neural Tagging
Table 4: F1 scores of semi-supervised Learning approaches; * shows transductive models.
['Posterior', 'Training', 'Dev', 'Test']
In particular we ablate incorporating the graph-based methods of computing the posterior and CRF training (ULM vs. hard decision). The table shows incorporating graph-based methods for computing posterior and ULM for CRF training outperforms their counterparts.