An Exploration of Inference Network Architecturesfor Sequence Labeling
Table 4: Test results with BLSTM-CRF+. For local baseline and inference network architectures, we use CNN for POS, seq2seq for NER, and BLSTM for CCG.
['[EMPTY]', 'POS', 'NER', 'CCG']
With a more powerful local architecture, structured prediction is less helpful overall, but inference networks still improve over the local baselines on 2 of 3 tasks.