Transfer Learning for Sequences via Learning to Collocate
Table 3: Classification accuracy with scarce training samples of the target domain.
['Target', 'LSTM', 'LSTM-u', 'LSTM-s', 'CCT', 'LWT', 'HATN', 'ART']
Minimally Supervised Domain Adaptation We also evaluate ART when the number of training samples for the target domain is much fewer than that of the source domain. For each target domain in the Amazon review dataset, we combine the training/development data of rest three domains as the source domain. ART outperforms all the competitors by a large margin. This verifies its effectiveness in the setting of minimally supervised domain adaptation.