WIS @ the NTCIR-12 Temporalia-2 Task

Users’ time-related information can may be multi-faceted, leading to temporal intent ambiguity. Here, we present an overview of our submissions to the Temporalia-2’s Temporal Intent Disambiguation subtask. Our approach focused on the question of whether temporal signals, extracted from publicly available, external data sources (in this case the Wikipedia page view stream), as features in a machine learning setup are beneficial for this task. Although we find that for some queries, temporal features can be highly beneficial for intent prediction, this is not the case for the majority of queries in Temporalia-2’s dataset.