Neural Modeling for Named Entities and Morphology (NEMO{}^{2})
Table 3: Summary of Hyper-Parameter Tuning. The * diverge from the NCRF++ proposed setup and empirical findings Yang and Zhang (2018).
['Parameter Optimizer', 'Value SGD', 'Parameter *LR ( [ITALIC] token-single)', 'Value 0.01']
journals/corr/ReimersG17,yang2018design, we perform hyper-parameter tuning for each of our model variants. We performed hyper-parameter tuning on the dev set in a number of rounds of random search, independently on every input/output option and character embedding architecture. NCRF++: an open-source neural sequence labeling toolkit.