Multi-Zone Unit for Recurrent Neural Networks
Table 6: The accuracy (mean of five times training with standard deviation) on SemEval 2014 term-based datasets. Results (marked with “*”) of existing systems are cited from [40].
['Models', 'Restaurant DS', 'Restaurant HDS', 'Laptop DS', 'Laptop HDS']
When incorporating the MZU, our capMZRNN further improve the performance on multiple datasets by significant margins. These results demonstrate the superiority and generalizability of the MZU cross tasks.