Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach
Table 3: Summary of the extraction model hyper-parameter settings.
['Hyper-parameter', 'Setting']
(bi-LSTM-CRF) derived from the description by Lample et al. This model achieves state of the art performance for Named Entity Recognition. We used a feature vector consisting of: 1.) bi-LSTM based character-embeddings.