Speaker-Sensitive Dual Memory Networks for Multi-Turn Slot Tagging
Table 3: Comparative performance in F1 score on five domains.
['Domain', 'LSTM', '+LS', '+PreLS', 'MNs', 'MNs+S', 'SSDMNs']
The improved performance of the +LS model, 92.92%, confirms the same findings of previous studies on the effectiveness of previous turn information for contextual interpretation. The further performance increase of the +PreLS model, achieving 93.36%, demonstrates the possible gain with the proposed pre-training scheme. Interestingly the MNs model couldn’t show a better performance than the +LS model, even after incorporating system’s output in surface form, justifying our novel contribution on the dual encoding of system output. This claim is also supported by the best performance of the SSDMNs model reaching 95.17%.