Aspect Based Sentiment Analysis with Gated Convolutional Networks
Table 6: The time to converge in seconds on ATSA task.
['Model', 'ATSA']
LSTM based models take more training time than convolutional models. On ATSA task, because of multiple attention layers in IAN and RAM, they need even more time to finish the training. GCAE is much faster than other neural models, because neither convolutional operation nor GTRU has time dependency compared with LSTM and attention layer. Therefore, it is easier for hardware and libraries to parallel the computing process. Since the performance of SVM is retrieved from the original paper, we are not able to compare the training time of SVM.