Dialog state tracking, a machine reading approach using Memory Network
Table 4: Reasoning tasks : Acc. on DSTC2 reasoning datasets
['[BOLD] Variable', '[BOLD] d', '[BOLD] Yes-No', '[BOLD] I.K.', '[BOLD] Count.', '[BOLD] List.']
The obtained results lead us to think that MemN2N are a competitive alternative for the task dialog state tracking but also increase the spectrum of definition of the general dialog state tracking task to machine reading and reasoning. In the future, we believe new reasoning capabilities like spacial and temporal reasoning and deduction should be exploited on the basis of a specifically designed dataset.