Temporal Reconciliation Based on Entity Information

International audienceTemporal classification of Web contents requires a " notion " about them. This is particularly relevant when contents contain several dates and a human " interpretation " is required in order to chose the appropriate time point. The dating challenge becomes even more complex, when images have to be dated based on the content describing them. In this paper, we present a novel time-stamping approach based on semantics derived from the document. To this end, we will first introduce our experimental dataset and then explain our temporal reconciliation pipeline. In particular, we will explain the process of temporal reconciliation by incorporating information derived from named entities