The models in previous work (Zeng et al., 2015;Lin et al., 2016;Luo et al., 2017) generally include two parts, encoding and fusion.
for NYT-10 experiments, we adopt a single query without temporal encoding to compare results with other baseline methods since the dataset only contains one label for each mention set.