For WDtext, Con-Mask is a strong baseline and has a better result on Hits@10 and Hits@5, but it performs worse on Hits@1 and MRR compared to our framework.
recently, temporal convolution and attention have been considered to learn a common representation and pinpoint common experiences (Mishra et al., 2018).